Method to trigger RNA interference

ABSTRACT

A method to generate siRNAs in vivo is described, as are constructs and compositions useful in the method. The method does not depend on the use of DNA or synthetic constructs that contain inverted duplications or dual promoters so as to form perfect or largely double-stranded RNA. Rather, the method depends on constructs that yield single-stranded RNA transcripts, and exploits endogenous or in vivo-produced miRNAs or siRNAs to initiate production of siRNAs. The miRNAs or siRNAs guide cleavage of the transcript and set the register for production of siRNAs (usually 21 nucleotides in length) encoded adjacent to the initiation cleavage site within the construct. The method results in specific formation of siRNAs of predictable size and register (phase) relative to the initiation cleavage site. The method can be used to produce specific siRNAs in vivo for inactivation or suppression of one or more target genes or other entities, such as pathogens.

REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. provisional application No. 60/642,126, filed Jan. 7, 2005, the content of which is incorporated herein by reference in its entirety.

STATEMENT OF GOVERNMENT SUPPORT

This invention was made with United States government support pursuant to grant MCB-0209836 from the National Science Foundation, grant A 143288 from the National Institutes of Health, and grant 2005-35319-15280 from the USDA; the United States government has certain rights in the invention.

FIELD

This disclosure relates to methods of regulating gene expression in vivo in plant, fungi, and invertebrate cells, as well as constructs and compositions useful in such methods. Further, it relates to RNAi-inducing nucleic acid constructs having a microRNA or siRNA target sequence (initiator sequence) and one or more siRNA-generating sequences directed to one or more target genes or RNAs, whereby the siRNA-generating sequences are in 21-nucleotide register with the cleavage site guided by the microRNA or siRNA initiator.

BACKGROUND

Mechanisms that suppress the expression of specific cellular genes, viruses or mobile genetic elements (such as transposons and retroelements) are critical for normal cellular function in a variety of eukaryotes. A number of related processes, discovered independently in plants (Matzke et al., Curr. Opin. Genet. Dev. 11:221-227, 2001), animals (Fire et al., Nature, 391:806-811, 1998) and fungi (Cogoni, Annu. Rev. Microbiol. 55:381-406, 2001), result in the RNA-directed inhibition of gene expression (also known as RNA silencing). Each of these processes is triggered by molecules containing double-stranded RNA (dsRNA) structure, such as transcripts containing inverted repeats or double-stranded RNA intermediates formed during RNA virus replication. Non-dsRNAs, also referred to as aberrant RNAs, may also function as initiators of RNA silencing. Such aberrant RNAs may be converted into dsRNAs by silencing-associated RNA-dependent RNA polymerases (RDRs), which have been identified in plants, fungi and C. elegans (Tuschl, ChemBiochem, 2:239-245, 2001).

Two major classes of small RNAs have been characterized: short interfering RNAs (siRNAs) and microRNAs (miRNAs). The primary transcripts that eventually form miRNAs are transcribed from non-protein-coding miRNA genes. These transcripts form hairpin structures that are then processed by Dicer (or by Dicer-like activities in plants) to yield small RNA duplexes containing 2-base overhangs at each 3′ end. The mature single-stranded miRNA approximately 20-22 nucleotides in length forms by dissociation of the two strands in the duplex, and is selectively incorporated into the RNA-Induced Silencing Complex, or RISC (Zamore, Science, 296:1265-1269, 2002; Tang et al., Genes Dev., 17:49-63, 2003; Xie et al., Curr. Biol. 13:784-789, 2003).

siRNAs are similar in chemical structure to miRNAs, however siRNAs are generated by the cleavage of relatively long double-stranded RNA molecules by Dicer or DCL enzymes (Zamore, Science, 296:1265-1269, 2002; Bernstein et al., Nature, 409:363-366, 2001). In animals and plants, siRNAs are assembled into RISC and guide the sequence specific ribonucleolytic activity of RISC, thereby resulting in the cleavage of miRNAs, viral RNAs or other RNA target molecules in the cytoplasm. In the nucleus, siRNAs also guide heterochromatin-associated histone and DNA methylation, resulting in transcriptional silencing of individual genes or large chromatin domains.

MicroRNAs in plants and animals function as posttranscriptional regulators of genes involved in a wide range of cellular processes (Bartel, Cell 116:281-297, 2004; He & Hannon, Nat Rev Genet 5:522-531, 2004). In the plant Arabidopsis thaliana, miRNAs regulate miRNAs encoding at least twelve families of transcription factors, several miRNA metabolic factors, and proteins involved in stress responses, metabolism, and hormone signaling (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004; Kasschau et al., Dev Cell 4:205-217, 2003; Llave et al., Science 297:2053-2056, 2002b; Vazquez et al., Curr Biol 14:346-351, 2004a; Xie et al., Curr Biol 13:784-789, 2003). Plant miRNAs target a disproportionately high number of genes with functions in developmental processes, including developmental timing, control of cell proliferation, meristem cell function, and patterning. Global disruption of miRNA biogenesis or function, or specific disruption of miRNA-target interactions, can result in severe developmental abnormalities (Achard et al., Development 131:3357-3365, 2004; Chen, Science 303:2022-2025, 2004; Emery et al., Curr Biol 13:1768-1774, 2003; Juarez et al., Nature 428:84-88, 2004; Kidner & Martienssen, Nature 428:81-84, 2004; Laufs et al., Development 131:4311-4322, 2004; Mallory et al., Curr Biol 14:1035-1046, 2004; Palatrik et al., Nature 425:257-263, 2003; Tang et al., Genes & Dev 17:49-63 2003; Vaucheret et al., Genes Dev 18:1187-1197, 2004), indicating that miRNA-based regulation is crucial for normal growth and development. This idea is reinforced by the conservation of most miRNAs and their corresponding targets through significant evolutionary time (Bartel, Cell 116:281-297, 2004). MicroRNAs have been identified by direct cloning methods and computational prediction strategies (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004; Llave et al., Plant Cell 14:1605-1619, 2000a; Park et al., Curr Biol 12:1484-1495, 2002; Reinhart et al., Genes Dev 16:1616-1626, 2002; Sunkar & Zhu, Plant Cell 16:2001-2019, 2004).

Plant miRNAs usually contain near-perfect complementarity with target sites, which are found most conmmonly in protein-coding regions of the genome. As a result, most (but not all) plant miRNAs function to guide cleavage of targets through a mechanism similar to the siRNA-guided mechanism associated with RNAi (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004; Kasschau et al., Dev Cell 4:205-217, 2003; Llave et al., Science 297:2053-2056, 2002; Tang et al., Genes & Dev 17:49-63 2003). In contrast, animal miRNAs contain relatively low levels of complementarity to their target sites, which are most commonly found in multiple copies within 3′ untranslated regions of the target transcript (Lewis et al., Cell 115:787-798, 2003; Rajewsky & Socci, Dev Biol 267:529-535, 2004; Stark et al., PLoS Biol 1:E60, 2003). Most animal miRNAs do not guide cleavage, but rather function to repress expression at the translational or co-translational level (Ambros, Cell 113:673-676, 2003; He & Hannon, Nat Rev Genet 5:522-531, 2004). At least some plant miRNAs may also function as translational repressors (Aukerman & Sakai, Plant Cell 15:2730-2741, 2003; Chen, Science 303:2022-2025, 2004). Translation repression is not an inherent activity of animal miRNAs, as miRNAs will guide cleavage if presented with a target containing high levels of complementarity (Doench et al., Genes Dev 17:438-442, 2003; Hutvagner & Zamore, Science 297:2056-2060, 2002; Yekta et al., Science 304:594-596, 2004; Zeng et al., Proc Natl Acad Sci USA 100:9779-9784, 2003).

MicroRNAs form through nucleolytic maturation of genetically defined RNA precursors that adopt imperfect, self-complementary foldback structures. Processing yields a duplex intermediate (miRNA/miRNA*) that ultimately provides the miRNA strand to the effector complex, termed RISC (Khvorova et al., Cell 115:209-216, 2003; Schwarz et al., Cell 115:199-208, 2003). Plants contain four DICER-LIKE (DCL) proteins, one of which (DCL1) is necessary for maturation of most or all miRNA precursors (Kurihara & Watanabe, Proc Natl Acad Sci USA 101: 12753-12758, 2004; Park et al., Curr Biol 12:1484-1495, 2002; Reinhart et al., Genes Dev 16:1616-1626, 2002; Schauer et al., Trends Plant Sci 7:487-491, 2002). The DCL1 protein contains an RNA helicase and two RNaseIII-like domains, a central PAZ domain and C-terminal dsRNA binding motifs. Animal miRNA precursor processing requires Drosha, another RNaseIII domain protein, and Dicer in sequential nucleolytic steps (Lee et al., Nature 425:415-419, 2003). HEN1 participates in miRNA biogenesis or stability in plants via a 3′ methylase activity (Boutet et al., Curr Biol 13:843-848, 2003; Park et al., Curr Biol 12:1484-1495, 2002). The dsRNA-binding HYL1 protein is necessary for miRNA biogenesis in cooperation with DCL1 and HEN1 in the nucleus. Based on sequence similarity, HYL1 has been suggested to function like animal R2D2, which is required post-processing during RISC assembly (Han et al., Proc Natl Acad Sci USA 101: 1093-1098, 2004; Liu et al., Science 301:1921-1925, 2003; Pham et al., Cell 117:83-94, 2004; Tomari et al., Science 306:1377-1380, 2004; Vazquez et al., Curr Biol 14:346-351, 2004a). In animals, Exportin-5 (ExpS) regulates the transport of pre-miRNAs from the nucleus to the cytoplasm by a Ran-GTP-dependent mechanism (Bohnsack et al., RNA 10:185-191, 2004; Lund et al., Science 303:95-98, 2003; Yi et al., Genes Dev 17:3011-3016, 2003). In Arabidopsis, HST may provide a related function to transport miRNA intermediates to the cytoplasm (Bollman et al., Development 130:1493-1504, 2003). Active miRNA-containing RISC complexes in plants almost certainly contain one or more ARGONAUTE proteins, such as AGO1 (Fagard et al., Proc Natl Acad Sci USA 97:11650-11654, 2000; Vaucheret et al., Genes Dev 18:1187-1197, 2004). Argonaute proteins in animals were shown recently to provide the catalytic activity for target cleavage (Liu et al., Science 305:1437-1441, 2004; Meister et al., Mol Cell 15:185-197, 2004).

In addition to miRNAs, plants also produce diverse sets of endogenous 21-25 nucleotide small RNAs. Most of these differ from miRNAs in that they arise from double-stranded RNA (rather than imperfect foldback structures), in some cases generated by the activity of RNA-DEPENDENT RNA POLYMERASEs (RDRs). Arabidopsis DCL2, DCL3, DCL4, RDR1, RDR2 and RDR6 have known roles in siRNA biogenesis (Dalmay et al., Cell 101:543-553, 2000; Mourrain et al., Cell 101:533-542, 2000; Peragine et al., Genes & Dev 18:2369-2379, 2004; Vazquez et al., Mol Cell 16:69-79, 2004b; Xie et al., PLoS Biol 2:642-652, 2004; Yu et al., Mol Plant Microbe Interact 16:206-216, 2003). For example, DCL3 and RDR2 cooperate in the heterochromatin-associated RNAi pathway, resulting in ˜24-nucleotide siRNAs from various retroelements and transposons, 5S rDNA loci, endogenous direct and inverted repeats, and transgenes containing direct repeats (Xie et al., PLoS Biol 2:642-652, 2004; Zilberman et al., Science 299:716-719, 2003). RDR6 functions in posttranscriptional RNAi of sense transgenes, some viruses, and specific endogenous miRNAs that are targeted by trans-acting siRNAs (ta-siRNAs) (Dalmay et al., Cell 101:543-553, 2000; Mourrain et al., Cell 101:533-542, 2000; Peragine et al., Genes & Dev 18:2369-2379, 2004; Vazquez et al., Mol Cell 16:69-79, 2004b; Yu et al., Mol Plant Microbe Interact 16:206-216, 2003). Ta-siRNAs arise from transcripts that are recognized by RDR6, in cooperation with SGS3, as a substrate to form dsRNA. The dsRNA is processed accurately in 21-nucleotide steps by DCL1 to yield a set of “phased” ta-siRNAs. These ta-siRNAs interact with target miRNAs to guide cleavage by the same mechanism as do plant miRNAs (Peragine et al., Genes & Dev 18:2369-2379, 2004; Vazquez et al., Mol Cell 16:69-79, 2004).

There is a need to develop methods and constructs that can be used to induce targeted RNAi in vivo. It is to such methods and constructs, and related compositions, that this disclosure is drawn.

SUMMARY OF THE DISCLOSURE

Provided herein are methods of generating one or more siRNAs in vivo; also provided are constructs and compositions useful in the methods. The methods do not depend on DNA or other synthetic nucleic acid molecules that contain inverted duplications (repeats) or dual promoters to form perfect or largely double-stranded RNA. Rather, the methods employ constructs that yield single-stranded RNA transcripts, and take advantage of endogenous (native or heterologous) or in vivo-produced miRNAs or siRNAs to initiate production of siRNAs from an engineered RNAi-triggering cassette. The miRNAs or siRNAs guide cleavage of the transcript and set the register (phase) for production of siRNAs (usually 21 nucleotides in length) encoded adjacent to the initiation cleavage site within the construct. The methods result in specific formation of siRNAs of predictable size and register (phase) relative to the initiation cleavage site. The method can be used to produce specific siRNAs in vivo for inactivation or suppression of one or more target genes or other entities, such as pathogens or pests (e.g., viruses, bacteria, nematodes). No exogenous hairpin or foldback structure is required in the provided constructs in order to generate siRNAs or to carry out RNAi-like inhibition of target gene(s).

Also provided are methods, and constructs for use in such methods, where the siRNAs are produced in a tissue-specific, cell-specific, or other regulated manner.

Further, transformed cells and organisms that contain a transgene including at least one RNAi-triggering cassette are also provided by this disclosure. For instance, transgenic fungi, invertebrate animals, and plants are provided that contain at least one RNAi-triggering cassette, which, when transcribed, produces at least one siRNA molecule complementary to a target sequence to be inhibited in that organism.

The foregoing and other features and advantages will become more apparent from the following detailed description of several embodiments, which proceeds with reference to the accompanying figures.

BRIEF DESCRIPTION OF THE FIGURES

FIG. 1. Refined prediction and validation of miRNA target genes in Arabidopsis. (A) Flowchart for miRNA target identification. The number of small RNAs (or targets) passing a filter is shown in parentheses. Predicted targets are classified into 5 bins based on validation data. The false negative rate in Bins 1 and 2 are based on 66 and 28 targets in the ‘Rule development set’, respectively (see Table 3). (B) Percent of mismatched and G:U base-pairs at each position of the Rule development set targets. Position 1 corresponds to the 5′ end of the miRNA. (C) Minimum Free Energy (MFE) ratio of the Rule development set target duplexes. Black circles indicate Rule development set validated targets, open circles indicate rule development set targets only predicted computationally. (D) Number of predicted targets genes for a given miRNA-target duplex score, filtered by duplexes with an MFE ratio≧0.73. Total predicted targets (open triangles) and captured targets in the Rule development set (open circles) are shown. Total targets in the Rule development set (94) is indicated by the dashed line.

FIG. 2. miRNA-target duplexes. (A) Target duplexes from Bin 1 validated in this study. (B) Duplexes for predicted miRNA targets in Bin 3.

FIG. 3. Validation of miRNA targets by 5′RACE. (A) Protein-coding miRNA targets. The miRNA-target duplex is highlighted, with the fraction of cloned PCR products terminating at a given position in the target validation assay (Llave et al., Science 297:2053-2056, 2002) indicated above the duplex. The distribution of cleavage products across all five predicted miR399 target sites is displayed above the schematic representation of At2g33770. (B) Non-coding miRNA targets predicted by the EST database search. Each of these targets corresponds to a ta-siRNA-generating primary transcript.

FIG. 4. Characterization and expression profiling of Arabidopsis small RNA biogenesis mutants. (A) Phenotype of hst-15 and rdr6-15 mutants. Rosettes (Col-0, rdr6-15, hst-15), first true leaf (Col-0, rdr6-15), bolt and flower (Col-0, hst-15) are shown. For array data in (b-e), normalized intensity is plotted as log₂ of the fold change relative to the control sample for each mutant, thus zero represents no change in transcript abundance. (B) Profile of 81 of 94 miRNA target transcripts predicted previously and in this study (Bins 1 and 2, FIG. 1). (C) Profile of 12 of 18 miRNA targets genes predicted in this study. The solid lines indicate new targets from existing target families (Bin 3, FIG. 1), and the dashed lines indicate novel miRNA targets (Bin 4, FIG. 1). Non-validated targets in Bin 5 are not shown. (D) Profile of transcripts significantly co-affected (P>0.01) in dcl1-7, hen1-1, and rdr6-15. (E) Profile of 93 predicted miRNA target transcripts (light lines), and PCA component 1 (dark line). (F) Cladogram of the small RNA biogenesis mutant series. The correlation among groups (r×100) is shown at each node. (G) Scatterplots of all genes showing normalized intensity values representing fold change (hyl1-2 vs. hst-15, dcl1-7 vs. hen1-1, hyl1-2 vs. dcl3-1).

FIG. 5. In-phase processing of trans-acting siRNAs directed by miR173 as the initiator. (A-C) Diagrammatic representation of the three TAS1 and on TAS2 loci. The naming convention used is TAS (for Trans-Acting SiRNA). Ta-siRNAs with functional evidence are shown by the systematic nomenclature (see text for details). The 21 nucleotide phase is indicated by brackets, with the first position starting from the miR173-guided cleavage site. The relative positions from the cleavage site are designated 3′D1, 3′D2, etc. Positions for which small RNAs are represented in the ASRP sequence database are listed with the ASRP ID number. Relative positions of the At2g39675 and At3g39680 loci in Arabidopsis chromosome 2 are shown in (C). (D) Detection and validation of ta-siRNAs by small RNA blot analysis. Small RNAs were detected using specific oligo probes, except At3g39680 antisense small RNAs which were detected with a 469 nucleotide radiolabeled RNA transcript. (E) Validation of siR255 target genes by 5′ RACE, and predicted Ag3g39681 (TAS2).3′D6(−) targeted PPR genes.

FIG. 6. In-phase processing of TAS3-derived trans-acting siRNAs guided by miR390. (A) Diagrammatic representation of the miR390 target locus, TAS3 (At3g17185). Labeling is as in FIG. 5, but with the 21-nucleotide phased positions designated 5′D1, 5′D2, etc, starting at the miR390-guided cleavage site. The two siRNAs that are predicted to guide cleavage of ARF3 and ARF4 are indicated. (B) Detection and validation of ta-siRNAs from the TAS3 locus. (C) T-Coffee program alignment of TAS3 orthologs in plants showing conservation of predicted TAS3 ta-siRNAs and miR390 target site. High levels of conservation are designated by light shading. (D) PLOTCON program similarity score (21 nt window) derived from alignment of 18 ARF3 and ARF4 genes from 16 species, over a 600 nt region. Two highly conserved regions are indicated by A and B, which are TAS3 ta-siRNA target sites. Below, validation of small RNA directed cleavage of ARF3 and ARF4 by 5′ RACE. The predicted TAS3-derived ta-siRNAs are shown below complementary regions of ARF3 and ARF4 sequences. (E) Consensus phylogenetic tree of the ARF family, showing miRNA and ta-siRNA regulated branches. Bayesian posterior probability was 100 except for labeled nodes.

FIG. 7. Model for miRNA-directed formation of ta-siRNAs

FIG. 8. Validation of miRNAs in A. thaliana. (A) Prediction flowchart for miRNA validation. The number of small RNAs passing a filter is shown in parentheses. (B) Predicted secondary structure of miRNA precuros validated in this study. (C,D) Small RNA blot analysis of miRNAs. miR159 and miR167 are shown as traditional miRNA controls, AtSN1 is shown as an siRNA control. Ethidium bromide-stained gel (tRNA and 5S RNA zone) is shown at the bottom. Wildtype controls (Col-0 and La-er) are shown next to respective miRNA metabolism mutants (C) and ta-siRNA biogenesis mutants (rdr6-11 and sgs3-1) or transgenic plants expressing viral silencing (D).

FIG. 9. Strategy to map Arabidopsis MIRNA gene transcription start sites. (A) Schematic representation of a generic MIRNA transcript (top), and control SCL6-IV miRNA (middle) and miR171-guided cleavage product (bottom). The relative positions of oligonucleotides used in 5′RACE reactions are shown. (B) RLM-5′RACE reactions using poly(A)⁺-selected RNA that was pretreated with calf intestinal phosphatase (CIP) plus tobacco acid pyrophosphatase (TAP, even-numbered lanes) or with buffer (odd-numbered lanes) prior to adaptor ligation. The 5′RACE products for SCL6-IV-specific RNAs (lanes1-4) and three MIRNA loci (lanes 5-10) were resolved on a 2% agarose gel. Gene-specific primers used for 5′RACE are indicated above each lane.

FIG. 10. MIRNA gene transcript start sites and core promoter elements. (A) Base frequency at MIRNA transcription initiation sites (n=63). (B) Genomic sequences (−50 to +10 relative to start sites) around 63 start sites (red letters) from 47 Arabidopsis MIRNA loci. Putative TATA motifs (bold) are indicated. These sequences correspond to SEQ ID NOs: 286-348. (C) Occurrence of high-scoring TATA motifs within a 250-nucleotide (−200 to +50) genomic context for 63 MIRNA transcripts.

FIG. 11. Graphic representation of an artificial ta-siRNA construct made in the TAS1c context. The construct contains two 21-nt siRNA modules. The represented construct contains siRNAs desiged to target miRNAs for Arabidopsis phytoene desaturase (PDS).

FIG. 12. Demonstration of artificial ta-siRNA biogenesis and activity in Nicotiana benthamiana. Introduction of each construct into N. benthamiana in a transient assay resulted in miR173-dependent formation of ta-siRNAs. In the case of 35S:TAS1cGFPd3d4 (A,B), the artificial ta-siRNA construct was co-expressed with a functional GFP gene. Expression of at least one artificial tasiRNA was detected in a miR173-dependent manner, by blot assay using each construct (GFP: A; PDS: C; PID: D). The GFP gene was silenced by the artificial GFP ta-siRNAs in a miR173-dependent manner (B). The same miR173 and tasiRNA255 controls were used for PDS, PID, and GFP siRNA assays)

FIG. 13. Artificial ta-siRNA biogenesis and activity in transgenic Arabidopsis. The PDS artificial ta-siRNA-generating construct was introduced into wild-type (Col-0) Arabidopsis and rdr6-15 mutant plants. Both strong and weak loss-of-function PDS phenotypes were detected, but only in wt plants. The rdr6-15 mutant plants lack a critical factor for ta-siRNA biogenesis.

FIG. 14. Reconstruction of TAS1a, TAS1b, TAS1c, and TAS2 ta-siRNA Biogenesis in a Transient Expression Assay using N. benthamiana. (A and B) Constructs with wild-type miR173 target sites. Constructs were expressed or coexpressed as indicated above the blot panels. The small RNAs detected in blot assays are shown to the right of each panel. Duplicate biological samples were analyzed for most treatments. (C) Constructs with mutagenized target site or miR173 sequences. Target site and miRNA combinations tested are illustrated schematically above the blot panels. Mutagenized positions are in bold. The miR173res1 probe hybridized to both the miR173 and miR173res1 sequences.

BREIF DESCRIPTION OF THE SEQUENCE LISTING

The nucleic acid sequences listed below are shown using standard letter abbreviations for nucleotide bases, as defined in 37 C.F.R. § 1.822. Only one strand of each nucleic acid sequence is shown, but the complementary strand is understood as included in embodiments where it would be appropriate. In the accompanying sequence listing:

SEQ ID NOs: 1-142 and 281-285 are representative target (initiator) sequences. The initiator sequences are shown as RNA; it is understood that the corresponding DNA sequence would comprise a T in place of any U. The sequences are broken out based on the miRNA complementary to the provided initiator (target) sequences. The corresponding miRNA sequence can be deduced for each target sequence; it is the reverse complement formed of RNA.

SEQ ID NOs: 143-154 are predicted miRNA candidates (shown as RNA) that were tested experimentally, and which are discussed in Example 5.

SEQ ID NOs: 155-206 are miRNA sequences (shown as RNA), which are discussed in Example 5.

SEQ ID NOs: 207-276 are validated miRNA sequences cloned from Arabidopsis small RNA libraries (shown as RNA), and which are discussed in Example 5.

SEQ ID NO: 277 is the nucleic acid sequence of an artificial ta-siRNA locus targeting Arabidopsis gene encoding GFP.

SEQ ID NO: 278 is the nucleic acid sequence of an artificial ta-siRNA locus targeting Arabidopsis gene encoding phytoene desaturase (PDS).

SEQ ID NO: 279 is the nucleic acid sequence of an artificial ta-siRNA locus targeting Arabidopsis gene encoding PINOID (PID).

SEQ ID NO: 280 is an example of a sequence that would be contained in DNA construct containing SEQ ID NO: 1 as an initiator sequence.

SEQ ID NOs: 286-348 are genomtic sequences (−50 to +10 relative to start sites) of 63 start sites in 47 Arabidopsis miRNA loci. These are shown graphically in FIG. 10B.

SEQ ID NOs: 349 to 614 are prminers used in 3′RACE confirmation sequencing.

DETAILED DESCRIPTION

I. Abbreviations

AGO Argonaute

asRNA antisense RNA

cDNA complementary DNA

DCL dicer-like

dsRNA double-stranded RNA

GFP green fluorescent protein

LKR lysine ketoglutarate reductase

miRNA microRNA

nt nucleotide

PID PINOID

PDS phytoene desaturase

PTGS post-transcriptional gene silencing

RDR RNA-dependent RNA polymerase

RISC RNA-induced silencing complex

RNAi RNA interference

siRNA small interfering RNA

ssRNA single stranded RNA

ta-siRNA trans-acting siRNA

TGS transcriptional gene silencing

II. Terms

Unless otherwise noted, technical terms are used according to conventional usage. Definitions of common terms in molecular biology may be found in Benjamin Lewin, Genes V, published by Oxford University Press, 1994 (ISBN 0-19-854287-9); Kendrew et al. (eds.), The Encyclopedia of Molecular Biology, published by Blackwell Science Ltd., 1994 (ISBN 0-632-02182-9); and Robert A. Meyers (ed.), Molecular Biology and Biotechnology: a Comprehensive Desk Reference, published by VCH Publishers, Inc., 1995 (ISBN 1-56081-569-8).

In order to facilitate review of the various embodiments of the invention, the following non-limiting explanations of specific terms are provided:

21-Nucleotide Phasing: An incremental 21-nucleotide register, starting at an initiator cleavage site, in which cleavage is mediated by a RISC guided by either a miRNA or siRNA. Phasing defines a set of 21 nucleotide segments in linear, end-to-end orientation, either to the 5′ or 3′ side of the initiator cleavage site, or both. Formation of the 21-nucleotide siRNAs in phase with the cleavage site depends on the activity of a DICER or DICER-LIKE enzyme.

Agent: Any substance, including, but not limited to, an antibody, chemical compound, small molecule, therapeutic, nucleic acid, peptide mimetic, peptide, or protein. An agent can increase or decrease the level of miRNA or siRNA expression or production.

Agronomic trait: Characteristic of a plant, which characteristics include, but are not limited to, plant morphology, physiology, growth and development, yield, nutritional enhancement, disease or pest resistance, or environmental or chemical tolerance are agronomic traits. In the plants of this disclosure, the expression of identified recombinant DNA, e.g. for gene suppression, confers an agronomically important trait, e.g. increased yield. An “enhanced agronomic trait” refers to a measurable improvement in an agronomic trait including, but not limited to, yield increase, including increased yield under non-stress conditions and increased yield under environmental stress conditions. Stress conditions may include, for example, drought, shade, fungal disease, viral disease, bacterial disease, insect infestation, nematode infestation, cold temperature exposure, heat exposure, osmotic stress, reduced nitrogen nutrient availability, reduced phosphorus nutrient availability and high plant density. “Yield” can be affected by many properties including without limitation, plant height, pod number, pod position on the plant, number of internodes, incidence of pod shatter, grain size, efficiency of nodulation and nitrogen fixation, efficiency of nutrient assimilation, resistance to biotic and abiotic stress, carbon assimilation, plant architecture, resistance to lodging, percent seed germination, seedling vigor, and juvenile traits. Yield can also affected by efficiency of germination (including germination in stressed conditions), growth rate (including growth rate in stressed conditions), ear number, seed number per ear, seed size, composition of seed (starch, oil, protein) and characteristics of seed fill. Increased yield may result from improved utilization of key biochemical compounds, such as nitrogen, phosphorous and carbohydrate, or from improved responses to environmental stresses, such as cold, heat, drought, salt, and attack by pests or pathogens. Recombinant DNA used in this disclosure can also be used to provide plants having improved growth and development, and ultimately increased yield, as the result of modified expression of plant growth regulators or modification of cell cycle or photosynthesis pathways.

Altering level of production or expression: Changing, either by increasing or decreasing, the level of production or expression of a nucleic acid sequence or an amino acid sequence (for example a polypeptide, an siRNA, a miRNA, an miRNA, a gene), as compared to a control level of production or expression.

Antisense, Sense, and Antigene: DNA has two antiparallel strands, a 5′→3′ strand, referred to as the plus strand, and a 3′→5′ strand, referred to as the minus strand. Because RNA polymerase adds nucleic acids in a 5′→3′ direction, the minus strand of the DNA serves as the template for the RNA during transcription. Thus, an RNA transcript will have a sequence complementary to the minus strand, and identical to the plus strand (except that U is substituted for T).

Antisense molecules are molecules that are specifically hybridizable or specifically complementary to either RNA or the plus strand of DNA. Sense molecules are molecules that are specifically hybridizable or specifically complementary to the minus strand of DNA. Antigene molecules are either antisense or sense molecules directed to a DNA target. An antisense RNA (asRNA) is a molecule of RNA complementary to a sense (encoding) nucleic acid molecule.

Amplification: When used in reference to a nucleic acid, this refers to techniques that increase the number of copies of a nucleic acid molecule in a sample or specimen. An example of amplification is the polymerase chain reaction, in which a biological sample collected from a subject is contacted with a pair of oligonucleotide primers, under conditions that allow for the hybridization of the primers to nucleic acid template in the e. The primers are extended under suitable conditions, dissociated from the template, and then re-annealed, extended, and dissociated to amplify the number of copies of the nucleic acid. The product of in vitro amplification can be characterized by electrophoresis, restriction endonuclease cleavage patterns, oligonucleotide hybridization or ligation, and/or nucleic acid sequencing, using standard techniques. Other examples of in vitro amplification techniques include strand displacement amplification (see U.S. Pat. No. 5,744,311); transcription-free isothermal amplification (see U.S. Pat. No. 6,033,881); repair chain reaction amplification (see WO 90/01069); ligase chain reaction amplification (see EP-A-320 308); gap filling ligase chain reaction amplification (see U.S. Pat. No. 5,427,930); coupled ligase detection and PCR (see U.S. Pat. No. 6,027,889); and NASBA™ RNA transcription-free amplification (see U.S. Pat. No. 6,025,134).

Binding or stable binding: An oligonucleotide binds or stably binds to a target nucleic acid if a sufficient amount of the oligonucleotide forms base pairs or is hybridized to its target nucleic acid, to permit detection of that binding. Binding can be detected by either physical or functional properties of the target:oligonucleotide complex. Binding between a target and an oligonucleotide can be detected by any procedure known to one skilled in the art, including both functional and physical binding assays. For instance, binding can be detected functionally by determining whether binding has an observable effect upon a biosynthetic process such as expression of a gene, DNA replication, transcription, translation and the like.

Physical methods of detecting the binding of complementary strands of DNA or RNA are well known in the art, and include such methods as DNase I or chemical footprinting, gel shift and affinity cleavage assays, Northern blotting, dot blotting and light absorption detection procedures. For example, one method that is widely used, because it is simple and reliable, involves observing a change in light absorption of a solution containing an oligonucleotide (or an analog) and a target nucleic acid at 220 to 300 nm as the temperature is slowly increased. If the oligonucleotide or analog has bound to its target, there is a sudden increase in absorption at a characteristic temperature as the oligonucleotide (or analog) and the target disassociate from each other, or melt.

The binding between an oligomer and its target nucleic acid is frequently characterized by the temperature (T_(m)) at which 50% of the oligomer is melted from its target. A higher (T_(m)) means a stronger or more stable complex relative to a complex with a lower (T_(m)).

cDNA (complementary DNA): A piece of DNA lacking internal, non-coding segments (introns) and transcriptional regulatory sequences. cDNA may also contain untranslated regions (UTRs) that are responsible for translational control in the corresponding RNA molecule. cDNA is usually synthesized in the laboratory by reverse transcription from messenger RNA extracted from cells or other samples.

Complementarity and percentage complementarity: Molecules with complementary nucleic acids form a stable duplex or triplex when the strands bind, or hybridize, to each other by forming Watson-Crick, Hoogsteen or reverse Hoogsteen base pairs. Stable binding occurs when an oligonucleotide remains detectably bound to a target nucleic acid sequence under the required conditions.

Complementarity is the degree to which bases in one nucleic acid strand base pair with (are complementary to) the bases in a second nucleic acid strand. Complementarity is conveniently described by the percentage, i.e., the proportion of nucleotides that form base pairs between two strands or within a specific region or domain of two strands. For example, if 10 nucleotides of a 15-nucleotide oligonucleotide form base pairs with a targeted region of a DNA molecule, that oligonucleotide is said to have 66.67% complementarity to the region of DNA targeted.

Sufficient complementarity means that a sufficient number of base pairs exist between the oligonucleotide and the target sequence to achieve detectable binding, and disrupt or reduce expression of the gene product(s) encoded by that target sequence. When expressed or measured by percentage of base pairs formed, the percentage complementarity that fulfills this goal can range from as little as about 50% complementarity to full, (100%) complementary. In some embodiments, sufficient complementarity is at least about 50%, about 75% complementarity, or at least about 90% or 95% complementarity. In particular embodiments, sufficient complementarity is 98% or 100% complementarity.

A thorough treatment of the qualitative and quantitative considerations involved in establishing binding conditions that allow one skilled in the art to design appropriate oligonucleotides for use under the desired conditions is provided by Beltz et al., Methods Enzymol 100:266-285, 1983, and by Sambrook et al. (ed.), Molecular Cloning: A Laboratory Manual, 2^(nd) ed., vol. 1-3, Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y., 1989.

Complementary: The base pairing that occurs between two distinct nucleic acid sequences or two distinct regions of the same nucleic acid sequence.

Control level: The level of a molecule, such as a polypeptide or nucleic acid, normally found in nature under a certain condition and/or in a specific genetic background. In certain embodiments, a control level of a molecule can be measured in a cell or specimen that has not been subjected, either directly or indirectly, to a treatment. A control level is also referred to as a wildtype or a basal level. These terms are understood by those of ordinary skill in the art.

Control plant: A control plant, i.e. a plant that does not contain a recombinant DNA that confers (for instance) an enhanced agronomic trait in a transgenic plant, is used as a baseline for comparison to identify an enhanced agronomic trait in the transgenic plant. A suitable control plant may be a non-transgenic plant of the parental line used to generate a transgenic plant. A control plant may in some cases be a transgenic plant line that comprises an empty vector or marker gene, but does not contain the recombinant DNA, or does not contain all of the recombinant DNAs in the test plant.

DICER-LIKE (DCL): Plant homologs of the animal protein DICER. Both DICER and DCL enzymes catalyze formation of small RNA duplexes from larger precursor RNA molecules. By way of example, Arabidopsis thaliana contains four DCL genes (DCL1-DCL4). DCL1 for instance catalyzes processing of fold-back precursors for miRNAs (GenBank Accession No. NM_(—)099986; locus position At1g01040).

DNA (deoxyribonucleic acid): DNA is a long chain polymer which comprises the genetic material of most living organisms (some viruses have genes comprising ribonucleic acid (RNA)). The repeating units in DNA polymers are four different nucleotides, each of which comprises one of the four bases, adenine, guanine, cytosine and thymine bound to a deoxyribose sugar to which a phosphate group is attached. Triplets of nucleotides (referred to as codons) code for each amino acid in a polypeptide, or for a stop signal. The term codon is also used for the corresponding (and complementary) sequences of three nucleotides in the miRNA into which the DNA sequence is transcribed.

Unless otherwise specified, any reference to a DNA molecule is intended to include the reverse complement of that DNA molecule. Except where single-strandedness is required by the text herein, DNA molecules, though written to depict only a single strand, encompass both strands of a double-stranded DNA molecule.

Encode: A polynucleotide is said to encode a polypeptide if, in its native state or when manipulated by methods well known to those skilled in the art, it can be transcribed and/or translated to produce the miRNA for and/or the polypeptide or a fragment thereof. The anti-sense strand is the complement of such a nucleic acid, and the encoding sequence can be deduced therefrom.

Expression: The process by which a gene's coded information is converted into the structures present and operating in the cell. Expressed genes include those that are transcribed into miRNA and then translated into protein and those that are transcribed into RNA but not translated into protein (for example, siRNA, transfer RNA and ribosomal RNA). Thus, expression of a target sequence, such as a gene or a promoter region of a gene, can result in the expression of an miRNA, a protein, or both. The expression of the target sequence can be inhibited or enhanced (decreased or increased).

Fluorophore: A chemical compound, which when excited by exposure to a particular wavelength of light, emits light (i.e., fluoresces), for example at a different wavelength than that to which it was exposed. Fluorophores can be described in terms of their emission profile, or “color.” Green fluorophores, for example Cy3, FITC, and Oregon Green, are characterized by their emission at wavelengths generally in the range of 515-540). Red fluorophores, for example Texas Red, Cy5 and tetramethylrhodamine, are characterized by their emission at wavelengths generally in the range of 590-690 λ.

Encompassed by the term “fluorophore” are luminescent molecules, which are chemical compounds which do not require exposure to a particular wavelength of light to fluoresce; luminescent compounds naturally fluoresce. Therefore, the use of luminescent signals eliminates the need for an external source of electromagnetic radiation, such as a laser. An example of a luminescent molecule includes, but is not limited to, aequorin (Tsien, Ann. Rev. Biochem. 67:509, 1998).

Examples of fluorophores are provided in U.S. Pat. No. 5,866,366. These include: 4-acetamido-4′-isothiocyanatostilbene-2,2′disulfonic acid, acridine and derivatives such as acridine and acridine isothiocyanate, 5-(2′-aminoethyl)aminonaphthalene-1-sulfonic acid (EDANS), 4-amino-N-[3-vinylsulfonyl)phenyl]naphthalimide-3,5 disulfonate (Lucifer Yellow VS), N-(4-anilino-1-naphthyl)maleimide, anthranilamide, Brilliant Yellow, coumarin and derivatives such as cournarin, 7-amino-4-methylcoumarin (AMC, Coumarin 120), 7-amino-4-trifluoromethylcouluarin (Coumaran 151); cyanosine; 4′,6-diaminidino-2-phenylindole (DAPI); 5′,5″-dibromopyrogallol-sulfonephthalein (Bromopyrogallol Red); 7-diethylamino-3-(4′-isothiocyanatophenyl)-4-methylcoumarin; diethylenetriamine pentaacetate; 4,4′-diisothiocyanatodihydro-stilbene-2,2′-disulfonic acid; 4,4′-diisothiocyanatostilbene-2,2′-disulfonic acid; 5-[dimethylamino]naphthalene-1-sulfonyl chloride (DNS, dansyl chloride); 4-(4′-dimethylaminophenylazo)benzoic acid (DABCYL); 4-dimethylaminophenyl-azophenyl-4′-isothiocyanate (DABITC); eosin and derivatives such as eosin and eosin isothiocyanate; erythrosin and derivatives such as erythrosin B and erythrosin isothiocyanate; ethidium; fluorescein and derivatives such as 5-carboxyfluorescein (FAM), 5-(4,6-dichlorotriazin-2-yl)aminofluorescein (DTAF), 2′7′-dimethoxy-4′5′-dichloro-6-carboxyfluorescein (JOE), fluorescein, fluorescein isothiocyanate (FITC), and QFITC (XRITC); fluorescamine; IR144; IR1446; Malachite Green isothiocyanate; 4-methylumbelliferone; ortho cresolphthalein; nitrotyrosine; pararosaniline; Phenol Red; B-phycoerythrin; o-phthaldialdehyde; pyrene and derivatives such as pyrene, pyrene butyrate and succinimidyl 1-pyrene butyrate; Reactive Red 4 (Cibacron.®. Brilliant Red 3B-A); rhodamine and derivatives such as 6-carboxy-X-rhodamine (ROX), 6-carboxyrhodamine (R6G), lissamine rhodamine B sulfonyl chloride, rhodamine (Rhod), rhodamine B, rhodamine 123, rhodamine X isothiocyanate, sulforhodamine B, sulforhodamine 101 and sulfonyl chloride derivative of sulforhodamine 101 (Texas Red); N,N,N′,N′-tetramethyl-6-carboxyrhodamine (TAMRA); tetramethyl rhodamine; tetramethyl rhodamine isothiocyanate (TRITC); riboflavin; rosolic acid and terbium chelate derivatives.

Other fluorophores include thiol-reactive europium chelates that emit at approximately 617 nm (Heyduk and Heyduk, Analyt. Biochem. 248:216-227, 1997; J. Biol. Chem. 274:3315-3322, 1999).

Still other fluorophores include cyanine, merocyanine, styryl, and oxonyl compounds, such as those disclosed in U.S. Pat. Nos. 5,268,486; 5,486,616; 5,627,027; 5,569,587; and 5,569,766, and in published PCT patent application no. US98/00475, each of which is incorporated herein by reference. Specific examples of fluorophores disclosed in one or more of these patent documents include Cy3 and Cy5, for instance.

Other fluorophores include GFP, Lissamine™, diethylaminocoumarin, fluorescein chlorotriazinyl, naphthofluorescein, 4,7-dichlororhodamine and xanthene (as described in U.S. Pat. No. 5,800,996 to Lee et al., herein incorporated by reference) and derivatives thereof. Other fluorophores are known to those skilled in the art, for example those available from Molecular Probes (Eugene, Oreg.).

Gene Silencing: Gene silencing refers to lack of (or reduction of) gene expression as a result of, though not limited to, effects at a genomic (DNA) level such as chromatin re-structuring, or at the post-transcriptional level through effects on transcript stability or translation. Current evidence suggests that RNA interference (RNAi) is a major process involved in transcriptional and posttranscriptional gene silencing.

Because RNAi exerts its effects at the transcriptional and/or post-transcriptional level, it is believed that RNAi can be used to specifically inhibit alternative transcripts from the same gene.

Heterologous: A type of sequence that is not normally (i.e. in the wild-type sequence) found adjacent to a second sequence. In one embodiment, the sequence is from a different genetic source, such as a virus or organism, than the second sequence.

Hybridization: Oligonucleotides and their analogs hybridize by hydrogen bonding, which includes Watson-Crick, Hoogsteen or reversed Hoogsteen hydrogen bonding, between complementary bases. Generally, nucleic acid consists of nitrogenous bases that are either pyrimidines (cytosine (C), uracil (U), and thymine (T)) or purines (adenine (A) and guanine (G)). These nitrogenous bases form hydrogen bonds between a pyrimidine and a purine, and the bonding of the pyrimidine to the purine is referred to as base pairing. More specifically, A will hydrogen bond to T or U, and G will bond to C. In RNA molecules, G also will bond to U. Complementary refers to the base pairing that occurs between to distinct nucleic acid sequences or two distinct regions of the same nucleic acid sequence.

Hybridization conditions resulting in particular degrees of stringency will vary depending upon the nature of the hybridization method of choice and the composition and length of the hybridizing nucleic acid sequences. Generally, the temperature of hybridization and the ionic strength (especially the Na⁺ concentration) of the hybridization buffer will determine the stringency of hybridization, though waste times also influence stringency. Calculations regarding hybridization conditions required for attaining particular degrees of stringency are discussed by Sambrook et al. (ed.), Molecular Cloning: A Laboratory Manual, 2nd ed., vol. 1-3, Cold Spring Harbor Laboratory Press, Cold Spring Harbor, N.Y., 1989, chapters 9 and 11, herein incorporated by reference.

The following is an exemplary set of hybridization conditions and is not meant to be limiting.

Very High Stringency (Detects Sequences that Share 90% Sequence Identity)

Hybridization: 5×SSC at 65° C. for 16 hours

Wash twice: 2×SSC at room temperature (RT) for 15 minutes each

Wash twice: 0.5×SSC at 65° C. for 20 minutes each

High Stringency (Detects Sequences that Share 80% Sequence Identity or Greater)

Hybridization: 5×-6×SSC at 65° C.-70° C. for 16-20 hours

Wash twice: 2×SSC at RT for 5-20 minutes each

Wash twice: 1×SSC at 55° C.-70° C. for 30 minutes each

Low Stringency (Detects Sequences that Share Greater than 50% Sequence Identity)

Hybridization: 6×SSC at RT to 55° C. for 16-20 hours

Wash at least twice: 2×-3×SSC at RT to 55° C. for 20-30 minutes each.

Initiator sequence: A nucleotide sequence of about 21 nucleotides in length that, when present in an RNA molecule, serves as a cleavage site that is recognized by a RISC guided by a miRNA or siRNA. Cleavage at an initiator sequence (usually between the tenth and eleventh nucleotide counted from the 3′ end of the initiator sequence) sets the 21-nucleotide phasing within one or both RNA molecules that result after cleavage. These cleavage products, after conversion to double-stranded RNA, are subject to processing by Dicer or DCL enzymes usually in 21-nucleotide intervals upstream and/or downstream of the initiator sequence. In an engineered nucleic acid cassette as described herein, such in-phase cleavages release siRNAs from the cassette. Representative initiator sequences, also referred to as miRNA target sequences, are shown herein, including SEQ ID NOs: 1-142 and 281-285. Additional initiatior sequences will be known to those of ordinary skill in the art. See, for instance, sequences listed in the public database miRBase::Sequences (available on-line through the Sanger Insitute website, microma.sanger.ac.uk/sequences/index.shtml); sequences in that database through Release 7.1 (October 2005) are included herein by reference.

In the following table of target (initiator) sequences (Table 1), the initiator cleavage site is indicated by a “˜” symbol. The sequences are broken out based on the miRNA families. The corresponding miRNA sequence(s) or miRNA family sequences are largely complementary to the target sequences. The gene name indicates a representative plant species for each sequence: At=Arabidopsis thaliana; Gh=Gossypium hirsutum; Gm=Glycine max; Hv=Hordeum vulgare; Le=Lycopersicum esculentum; Lj=Lotus japonicus; Mc=Mesembryanthemum crystallinum; Mt=Medicago truncatula; Os=Oryza sativa; Pg=Pennisetum glaucum; Pt=Populus tremula; Pv=Plumbago zeylanica; Sb=Sorghum bicolor; So=Saccharum officinarum; Tc=Theobroma cacao; Ta=Triticum aesitivum; Vv=Vitis vinifera; Zm=Zea mays. Additional plants containing these sequences are discussed below. Validated miRNA target sequences have been confirmed experimentally using a cleavage site assay (Llave et al., Science 297:2053-2056, 2002); predicted sequences have yet to be examined experimentally and identified in vivo, but were predicted computationally. Sequences that are known only in Arabidopsis are indicated. TABLE 1 SEQ Gene Target Sequence Status ID # miR156 family target sequences-all plants At1g27370 GUGCUGUCUC˜UCUUCUGUCA Validated 1 At1g53160 CUGCUCUCUC˜UCUUCUGUCA Validated 2 At2g33810 UUGCUUACUC˜UCUUCUGUCA Predicted 3 At3g15270 CCGCUCUCUC˜UCUUCUGUCA Predicted 4 miR159 family target sequences-all plants At5g06100 UGGAGCUCCCU˜UCAUUCCAAU Validated 5 At2g26960 UCGAGUUCCCU˜UCAUUCCAAU Predicted 6 At4g26930 AUGAGCUCUCU˜UCAAACCAAA Predicted 7 At2g26950 UGGAGGUCCCU˜UCAUUCCAAG Predicted 8 At2g32460 UAGAGCUUCCU˜UCAAACCAAA Predicted 9 At3g60460 UGGAGCUCCAU˜UCGAUCCAAA Predicted 10 At5g55020 AGCAGCUCCCU˜UCAAACCAAA Predicted 11 PvMYB CAGAGCUCCCU˜UCACUCCAAU Predicted 12 VvMYB UGGAGCUCCGU˜UCACUCCAAU Predicted 13 HvMYB33 UGGAGCUCCCU˜UCACUCCAAG Predicted 14 OsMYB33 UGGAGCUCCCU˜UUAAUCCAAU Predicted 15 miR160 family target sequences-all plants At1g77850 UGGCAUGCAGG˜GAGGCAGGCA Validated 16 At2g28350 AGGAAUAGAGG˜GAGCCAGGCA Validated 17 At4g30080 GGGUUUACAGG˜GAGCCAGGCA Validated 18 OsARF AGGCAUACAGG˜GAGCCAGGCA Predicted 19 LjARF AAGCAUACAGG˜GAGCCAGGCA Predicted 20 miR161 family target sequences-Arabidopsis At5g41170 ACCUGAUGUAA˜UCACUUUCAA Validated 21 At1g06580 CCCGGAUGUAA˜UCACUUUCAG Validated 22 At1g63150 UUGUUACUUUC˜AAUGCAUUGA Validated 23 At5g16640 CCCUGAUGUAU˜UUACUUUCAA Predicted 24 At1g62590 UAGUCACGUUC˜AAUGCAUUGA Predicted 25 At1g62670 CCCUGAUGUAU˜UCACUUUCAG Predicted 26 At1g62860 CCCUGAUGUUG˜UUACUUUCAG Predicted 27 At1g62910 UAGUCACUUUC˜AGCGCAUUGA Predicted 28 At1g62930 UCCAAAUGUAG˜UCACUUUCAG Predicted 29 At1g63080 UCCAAAUGUAG˜UCACUUUCAA Predicted 30 At1g63130 UCCAAAUGUAG˜UCACUUUCAG Predicted 31 At1g63400 UCCAAAUGUAG˜UCACUUUCAA Predicted 32 At1g63230 UUGUAACUUUC˜AGUGCAUUGA Predicted 33 At1g63330 UAGUCACGUUC˜AAUGCAUUGA Predicted 34 At1g63630 UUGUUACUUUC˜AGUGCAUUGA Predicted 35 At1g64580 CCCUGAUGUUG˜UCACUUUCAC Predicted 36 At2g41720 UUGUUACUUAC˜AAUGCAUUGA Predicted 37 At1g63070 UAGUGUUUUUG˜AACGCAUUGA Predicted 38 miR162 family target sequences-all plants At1g01040 CUGGAUGCAGA˜GGUAUUAUCGA Validated 39 PtDCL1 CUGGAUGCAGA˜GGUCUUAUCGA Predicted 40 OsDCL1 GUGGAUGCAGA˜GGUUUUAUCGA Predicted 41 miR163 family target sequences-Arabidopsis At1g66700 AUCGAGUUCCAAG˜UCCUCUUCAA Validated 42 At1g66720 AUCGAGUUCCAGG˜UCCUCUUCAA Validated 43 At3g44860 AUCGAGUUCCAAG˜UUUUCUUCAA Validated 44 miR164 family target sequences-all plants At1g56010 AGCACGUACCC˜UGCUUCUCCA Validated 45 At5g07680 UUUACGUGCCC˜UGCUUCUCCA Validated 46 At5g53950 AGCACGUGUCC˜UGUUUCUCCA Validated 47 At5g61430 UCUACGUGCCC˜UGCUUCUCCA Validated 48 At5g39610 CUCACGUGAGC˜UGCUUCUCCG Predicted 49 OsNAC1 CGCACGUGACC˜UGCUUCUCCA Predicted 50 MtNAC CUUACGUGUCC˜UGCUUCUCCA Predicted 51 GmNAC CUUACGUGCCC˜UGCUUCUCCA Predicted 52 LeNAC GCCACGUGCAC˜UGCUUCUCCA Predicted 53 miR165/166 family target sequences-all plants At1g30490 UUGGGAUGAAG˜CCUGGUCCGG Validated 54 At5g60690 CUGGGAUGAAG˜CCUGGUCCGG Validated 55 At1g52150 CUGGAAUGAAG˜CCUGGUCCGG Validated 56 PtHDZIPIII CCGGGAUGAAG˜CCUGGUCCGG Predicted 57 miR167 family target sequences-all plants At1g30330 GAGAUCAGGCU˜GGCAGCUUGU Validated 58 At5g37020 UAGAUCAGGCU˜GGCAGCUUGU Validated 59 OsARF6 AAGAUCAGGCU˜GGCAGCUUGU Predicted 60 miR168 family target sequences-all plants At1g48410 UUCCCGAGCUG˜CAUCAAGCUA Validated 61 miR169 family target sequences-all plants At1g17590 AAGGGAAGUCA˜UCCUUGGCUG Validated 62 At1g54160 ACGGGAAGUCA˜UCCUUGGCUA Validated 63 At1g72830 AGGGGAAGUCA˜UCCUUGGCUA Validated 64 At3g05690 AGGCAAAUCAU˜CUUUGGCUCA Validated 65 At3g20910 GCGGCAAUUCA˜UUCUUGGCUU Validated 66 At5g12840 CCGGCAAAUCA˜UUCUUGGCUU Predicted 67 At3g14020 AAGGGAAGUCA˜UCCUUGGCUA Predicted 68 ZmHAP2 GUGGCAACUCA˜UCCUUGGCUC Predicted 69 VvHAP2 UGGGCAAUUCA˜UCCUUGGCUU Predicted 70 OsHAP2 AUGGCAAAUCA˜UCCUUGGCUU Predicted 71 GmHAP2 UAGGGAAGUCA˜UCCUUGGCUC Predicted 72 GhHAP2 CUGGGAAGUCA˜UCCUUGGCUC Predicted 73 miR170/171 family target sequences-all plants At245160 GAUAUUGGCGC˜GGCUCAAUCA Validated 74 miR172 family target sequences-all plants At4g36920 CUGCAGCAUCA˜UCAGGAUUCU Validated 75 At2g28550 CAGCAGCAUCA˜UCAGGAUUCU Validated 76 At5g60120 AUGCAGCAUCA˜UCAGGAUUCU Validated 77 At5g67180 UGGCAGCAUCA˜UCAGGAUUCU Validated 78 At2g39250 UUGUAGCAUCA˜UCAGGAUUCC Predicted 79 At3g54990 UUGCAGCAUCA˜UCAGGAUUCG Predicted 80 miR319 family target sequences-all plants At4g18390 CAGGGGGACCC˜UUCAGUCCAA Validated 81 At1g53230 GAGGGGUCCCC˜UUCAGUCCAU Validated 82 At3g15030 GAGGGGUCCCC˜UUCAGUCCAG Validated 83 At2g31070 AAGGGGUACCC˜UUCAGUCCAG Validated 84 At1g30210 UAGGGGGACCC˜UUCAGUCCAA Validated 85 OsPCF5 GAGGGGACCCC˜UUCAGUCCAG Predicted 86 OsPCF8 UCGGGGCACAC˜UUCAGUCCAA Predicted 87 miR393 family target sequences-all plants At1g12820 AAACAAUGCGA˜UCCCUUUGGA Validated 88 At4g03190 AGACCAUGCGA˜UCCCUUUGGA Validated 89 At3g23690 GGUCAGAGCGA˜UCCCUUUGGC Validated 90 At3g62980 AGACAAUGCGA˜UCCCUUUGGA Validated 91 miR394 family target sequences-all plants At1g27340 GGAGGUUGACA˜GAAUGCCAAA Validated 92 miR395 family target sequences-all plants At5g43780 GAGUUCCUCCA˜AACACUUCAU Validated 93 At3g22890 GAGUUCCUCCA˜AACUCUUCAU Predicted 94 At5g10180 AAGUUCUCCCA˜AACACUUCAA Predicted 95 miR396 family target sequences-all plants At2g22840 UCGUUCAAGAA˜AGCCUGUGGAA Validated 96 At2g36400 CCGUUCAAGAA˜AGCCUGUGGAA Validated 97 At4g24150 UCGUUCAAGAA˜AGCAUGUGGAA Validated 98 At2g45480 ACGUUCAAGAA˜AGCUUGUGGAA Validated 99 At3g52910 CCGUUCAAGAA˜AGCCUGUGGAA Predicted 100 miR397 family target sequences-all plants At2g29130 AAUCAAUGCUG˜CACUCAAUGA Validated 101 At2g38080 AGUCAAGGCUG˜CACUUAAUGA Validated 102 At2g60020 AAUCAAUGCUG˜CACUUAAUGA Validated 103 miR398 family target sequences-all plants At1g08830 AAGGGGUUUCC˜UGAGAUCACA Validated 104 At2g28190 UGGGGGUGACC˜UGGGAAACAUA Validated 105 At3g15640 AAGGUGUGACC˜UGAGAAUCACA Validated 106 miR173 family target sequences-Arabidopsis At1g50055 GUGAUUUUUCU˜AACAAGCGAA Validated 107 At2g39675 GUGAUUUUUCUC˜UACAAGCGAA Validated 108 At3g39680 GUGAUUUUUCUC˜UCCAAGGGAA Validated 109 miR399 family target sequences-all plants At2g33770 UAGGGCAUAUC˜UCCUUUGGCA Validated 110 At2g33770 UUGGGCAAAUC˜UCCUUUGGCA Validated 111 At2g33770 UCGAGCAAAUC˜UCCUUUGGCA Validated 112 At2g33770 UAGAGCAAAUC˜UCCUUUGGCA Validated 113 At2g33770 UAGGGCAAAUC˜UUCUUUGGCA Predicted 114 OsE2UBC UAGGGCAAAUC˜UCCUUUGGCA Predicted 115 OsE2UBC CUGGGCAAAUC˜UCCUUUGGCA Predicted 116 OsE2UBC UCGGGCAAAUC˜UCCUUUGGCA Predicted 117 OsE2UBC CCGGGCAAAUC˜UCCUUUGGCA Predicted 118 PtE2UBC GCGGGCAAAUC˜UUCUUUGGCA Predicted 119 MtE2UBC AAGGGCAAAUC˜UCCUUUGGGA Predicted 120 TaE2UBC UAGGGCAAAUC˜UCCUUUGGGG Predicted 121 TaE2UBC CUGGGCAAAUC˜UCCUUUGGCG Predicted 122 TaE2UBC UUCGGCAAAUC˜UCCUUUGGCA Predicted 123 miR403 family target sequences-dicots At1g31280 GGAGUUUGUGC˜GUGAAUCUAAU Validated 124 miR390 family target sequences-all plants At3g17185 CUUGUCUAUCCC˜UCCUGAGCUA Validated 125 SbTAS3 UAUGUCUAUCCC˜UUCUGAGCUG Predicted 126 SoTAS3 UAUGUCUAUCCC˜UUCUGAGCUA Predicted 127 ZmTAS3a UAUGUCUAUCCC˜UUCUGAGCUG Predicted 128 OsTAS3 UCGGUCUAUCCC˜UCCUGAGCUG Predicted 129 PgTAS3 UUAGUCUAUCCG˜UCCUGAGCUA Predicted 130 VvTAS3 AUUGCCUAUCCC˜UCCUGAGCUG Predicted 131 TcTAS3 CCUUGCUAUCCC˜UCCUGAGCUG Predicted 132 LeTAS3 CUUGUCUAUCCC˜UCCUGAGCUG Predicted 133 ZmTAS3b CCCUUCUAUCCC˜UCCUGAGCUA Predicted 134 PtTAS3 CUUGUCUAUCCC˜UCCUGAGCUA Predicted 135 OsTAS3b CCCUUCUAUCCC˜UCCUGAGCUA Predicted 136 TaTAS3 CCCUUCUAUCCC˜UCCUGAGCUA Predicted 137 HvTAS3 CCUUUCUAUCCC˜UCCUGAGCUA Predicted 138 PtTAS3b CCUGUCUAUCCG˜UCCUGAGCUA Predicted 139 McTAS3 UGUGUCUAUCCC˜UCCUGAGCUA Predicted 140 miR447 family target sequences-Arabidopsis At5g60760 UGACAAACAUC˜UCGUCCCCAA Validated 141 At3g45090 UGACAAACAUC˜UCGUUCCUAA Predicted 142 miR408 family target sequences-all plants At2g02850 CCAAGGGAAGA˜GGCAGUGCAU Predicted 281 At2g30210 ACCAGUGAAGA˜GGCUGUGCAG Validated 282 At2g47020 GCCAGGGAAGA˜GGCAGUGCAU Predicted 283 At5g05390 GCCGGUGAAGA˜GGCUGUGCAA Predicted 284 At5g07130 GCCGGUGAAGA˜GGCUGUGCAG Predicted 285

Between Jan. 7, 2005 and Jan. 7, 2006, the following changes were made to nomenclature related to nuclei acid molecules described herein:

Systematic Names Assigned to TAS Loci by the Arabidopsis Information Resource (TAIR)

At2g39680 antisense (TAS1511) has become At2g39681 (TAS2)

AU235820 (TAS255a) has become At1g50055 (TAS1b)

CD534192 (TAS255b) has become At2g27400 (TAS1a)

TAS255c has become At2g39675 (TAS1c)

At3g17185 (ASR) has become At3g17185 (TAS3)

Official miRNA Name Assigned by the miRNA Registry (miRBase)

ASRP 1890 has become miR447

These nomenclature changes are reflected in this document.

Interfering with or inhibiting (expression of a target sequence): This phrase refers to the ability of a small RNA, such as an siRNA or a miRNA, or other molecule, to measurably reduce the expression and/or stability of molecules carrying the target sequence. A target sequence can include a DNA sequence, such as a gene or the promoter region of a gene, or an RNA sequence, such as an miRNA. “Interfering with or inhibiting” expression contemplates reduction of the end-product of the gene or sequence, e.g., the expression or function of the encoded protein or a protein, nucleic acid, other biomolecule, or biological function influenced by the target sequence, and thus includes reduction in the amount or longevity of the miRNA transcript or other target sequence. In some embodiments, the small RNA or other molecule guides chromatin modifications which inhibit the expression of a target sequence. It is understood that the phrase is relative, and does not require absolute inhibition (suppression) of the sequence. Thus, in certain embodiments, interfering with or inhibiting expression of a target sequence requires that, following application of the small RNA or other molecule (such as a vector or other construct encoding one or more small RNAs), the sequence is expressed at least 5% less than prior to application, at least 10% less, at least 15% less, at least 20% less, at least 25% less, or even more reduced. Thus, in some particular embodiments, application of a small RNA or other molecule reduces expression of the target sequence by about 30%, about 40%, about 50%, about 60%, or more. In specific examples, where the small RNA or other molecule is particularly effective, expression is reduced by 70%, 80%, 85%, 90%, 95%, or even more.

Isolated: A biological component (such as a nucleic acid molecule, protein or organelle) that has been substantially separated or purified away from other biological components in the cell of the organism in which the component naturally occurs, i.e., other chromosomal and extra-chromosomal DNA and RNA, proteins and organelles. Nucleic acids and proteins that have been isolated include nucleic acids and proteins purified by standard purification methods. The term also embraces nucleic acids and proteins prepared by recombinant expression in a host cell as well as chemically synthesized nucleic acids.

MicroRNA (miRNA): Small, non-coding RNA gene products of approximately 21 nucleotides long and found in diverse organisms, including animals and plants. miRNAs structurally resemble siRNAs except that they arise from structured, foldback-forming precursor transcripts derived from miRNA genes. Primary transcripts of miRNA genes form hairpin structures that are processed by the multidomain RNaseIII-like nuclease DICER and DROSHA (in animals) or DICER-LIKE1 (DCL1; in plants) to yield miRNA duplexes. The mature miRNA is incorporated into RISC complexes after duplex unwinding. Plant miRNAs interact with their RNA targets with perfect or near perfect complementarity.

Mutation: A heritable change in DNA sequence. Mutations include a frame-shift, a point mutation, a missense mutation, a silent mutation, a polymorphism, a nonsense mutation, a deletion, a null mutation, a truncation, an elongation, an amino acid substitution, or an insertion. A mutant is an organism or cell carrying a mutation. The mutant can be genetically engineered or produced naturally.

Nucleotide: “Nucleotide” includes, but is not limited to, a monomer that includes a base linked to a sugar, such as a pyrimidine, purine or synthetic analogs thereof, or a base linked to an amino acid, as in a peptide nucleic acid (PNA). A nucleotide is one monomer in an oligonucleotide/polynucleotide. A nucleotide sequence refers to the sequence of bases in an oligonucleotide/polynucleotide.

The major nucleotides of DNA are deoxyadenosine 5′-triphosphate (DATP or A), deoxyguanosine 5′-triphosphate (dGTP or G), deoxycytidine 5′-triphosphate (dCTP or C) and deoxythymidine 5′-triphosphate (dTTP or T). The major nucleotides of RNA are adenosine 5′-triphosphate (ATP or A), guanosine 5′-triphosphate (GTP or G), cytidine 5′-triphosphate (CTP or C) and uridine 5′-triphosphate (UTP or U). Inosine is also a base that can be integrated into DNA or RNA in a nucleotide (dITP or ITP, respectively).

Oligonucleotide: An oligonucleotide is a plurality of nucleotides joined by phosphodiester bonds, between about 6 and about 300 nucleotides in length. An oligonucleotide analog refers to compounds that function similarly to oligonucleotides but have non-naturally occurring portions. For example, oligonucleotide analogs can contain non-naturally occurring portions, such as altered sugar moieties or inter-sugar linkages, such as a phosphorothioate oligodeoxynucleotide. Functional analogs of naturally occurring polynucleotides can bind to RNA or DNA

Operably linked: A first nucleic acid sequence is operably linked with a second nucleic acid sequence when the first nucleic acid sequence is placed in a functional relationship with the second nucleic acid sequence. For instance, a promoter is operably linked to a coding sequence if the promoter affects the transcription or expression of the coding sequence. Generally, operably linked DNA sequences are contiguous and, where necessary to join two protein-coding regions, in the same reading frame. In specific embodiments, operably linked nucleic acids as discussed herein are aligned in a linear concatamer capable of being cut into 21-mer fragments, at least one of which is a siRNA.

Ornamental plant: A plant that is grown for visual display. Numerous plants are commonly recognized as ornamental. These include, for example, indoor or outdoor nursery plants, house and garden plants, and florist crops, each of which may include without limitation trees, shrubs, perennials, bulbs, annuals, groundcovers, turf grasses, herbs, or native plants.

Ortholog: Two nucleic acid or amino acid sequences are orthologs of each other if they share a common ancestral sequence and diverged when a species carrying that ancestral sequence split into two species. Orthologous sequences are also homologous sequences.

Polymerization: Synthesis of a nucleic acid chain (oligonucleotide or polynucleotide) by adding nucleotides to the hydroxyl group at the 3′-end of a pre-existing RNA or DNA primer using a pre-existing DNA strand as the template. Polymerization usually is mediated by an enzyme such as a DNA or RNA polymerase. Specific examples of polymerases include the large proteolytic fragment of the DNA polymerase I of the bacterium E. coli (usually referred to as Kleenex polymerase), E. coli DNA polymerase I, and bacteriophage T7 DNA polymerase. Polymerization of a DNA strand complementary to an RNA template (e.g., a cDNA complementary to a miRNA) can be carried out using reverse transcriptase (in a reverse transcription reaction).

For in vitro polymerization reactions, it is necessary to provide to the assay mixture an amount of required cofactors such as M⁺⁺, and dATP, dCTP, dGTP, dTTP, ATP, CTP, GTP, UTP, or other nucleoside triphosphates, in sufficient quantity to support the degree of polymerization desired. The amounts of deoxyribonucleotide triphosphates substrates required for polymerizing reactions are well known to those of ordinary skill in the art. Nucleoside triphosphate analogues or modified nucleoside triphosphates can be substituted or added to those specified above.

Polypeptide: A polymer in which the monomers are amino acid residues which are joined together through amide bonds. When the amino acids are alpha-amino acids, either the L-optical isomer or the D-optical isomer can be used, the L-isomers being preferred. The term polypeptide or protein as used herein encompasses any amino acid sequence and includes modified sequences such as glycoproteins. The term polypeptide is specifically intended to cover naturally occurring proteins, as well as those that are recombinantly or synthetically produced.

Post-Transcriptional Gene Silencing (PTGS): A form of gene silencing in which the inhibitory mechanism occurs after transcription. This can result in either decreased steady-state level of a specific RNA target or inhibition of translation (Tuschl, ChemBiochem, 2:239-245, 2001). In the literature, the terms RNA interference (RNAi) and posttranscriptional cosuppression are often used to indicate posttranscriptional gene silencing.

Primer: Primers are relatively short nucleic acid molecules, usually DNA oligonucleotides six nucleotides or more in length. Primers can be annealed to a complementary target DNA strand (“priming”) by nucleic acid hybridization to form a hybrid between the primer and the target DNA strand, and then the primer extended along the target DNA strand by a nucleic acid polymerase enzyme. Pairs of primers can be used for amplification of a nucleic acid sequence, e.g., by nucleic-acid amplification methods known in to those of ordinary skill in the art.

A primer is usually single stranded, which may increase the efficiency of its annealing to a template and subsequent polymerization. However, primers also may be double stranded. A double stranded primer can be treated to separate the two strands, for instance before being used to prime a polymerization reaction (see for example, Nucleic Acid Hybridization. A Practical Approach, Hames and Higgins, eds., IRL Press, Washington, 1985). By way of example, a double stranded primer can be heated to about 90°-100° C. for about 1 to 10 minutes.

Promoter: An array of nucleic acid control sequences which direct transcription of a nucleic acid. A promoter includes necessary nucleic acid sequences near the start site of transcription, such as, in the case of an RNA polymerase II type promoter, a TATA element. Optionally, a promoter may include an enhancer and/or a repressor element. Enhancer and repressor elements can be located adjacent to, or distal to the promoter, and can be located as much as several thousand base pairs from the start site of transcription. Representative examples of promoters that can be used in the present disclosure are described herein.

Protein: A biological molecule, for example a polypeptide, expressed by a gene and comprised of amino acids.

Purified: The term purified does not require absolute purity; rather, it is intended as a relative term. Thus, for example, a purified protein preparation is one in which the protein referred to is more pure (has fewer impurities) than the protein in its natural environment within a cell.

Recombinant: A recombinant nucleic acid is one that has a sequence that is not naturally occurring or has a sequence that is made by an artificial combination of two otherwise separated segments of sequence. This artificial combination can be accomplished by chemical synthesis or by the artificial manipulation of isolated segments of nucleic acids, e.g., by genetic engineering techniques.

Regulatable promoter: A promoter whose activity is regulated by an agent, such as a transcription factor, a chemical compound, or a nucleic acid molecule.

Regulating gene expression: The process of controlling the expression of a gene by increasing or decreasing the expression, production, or activity of an agent that affects gene expression. The agent can be a protein, such as a transcription factor, or a nucleic acid molecule, such as a miRNA or an siRNA molecule, which when in contact with the gene or its upstream regulatory sequences, or a miRNA encoded by the gene, either increases or decreases gene expression.

RNA: A typically linear polymer of ribonucleic acid monomers, linked by phosphodiester bonds. Naturally occurring RNA molecules fall into three general classes, messenger (miRNA, which encodes proteins), ribosomal (rRNA, components of ribosomes), and transfer (tRNA, molecules responsible for transferring amino acid monomers to the ribosome during protein synthesis). Messenger RNA includes heteronuclear (hnRNA) and membrane-associated polysomal RNA (attached to the rough endoplasmic reticulum). Total RNA refers to a heterogeneous mixture of all types of RNA molecules.

RNA-dependent RNA polymerase (RDR): Enzyme that polymerizes formation of RNA using a single-stranded RNA template. This frequently results in formation of a double-stranded RNA molecule. Examples of Arabidopsis RDRs include RDR1, RDR2 and RDR6 (Xie et al., PLoS Biol 2:642-652, 2004). RDRs required for viral replication are also encoded by many viruses (Kao et al., Virology 287:251-260, 2001).

RNA interference (RNAi): Gene silencing mechanisms that involve small RNAs (including miRNA and siRNA) are frequently referred to under the broad term RNAi. Natural functions of RNAi include protection of the genome against invasion by mobile genetic elements such as transposons and viruses, and regulation of gene expression.

RNA interference results in the inactivation or suppression of expression of a gene within an organism. RNAi can be triggered by one of two general routes. First, it can be triggered by direct cellular delivery of short-interfering RNAs (siRNAs, usually −21 nucleotides in length and delivered in a dsRNA duplex form with two unpaired nucleotides at each 3′ end), which have sequence complementarity to a RNA that is the target for suppression. Second, RNAi can be triggered by one of several methods in which siRNAs are formed in vivo from various types of designed, expressed genes. These genes typically express RNA molecules that form intra- or inter-molecular duplexes (dsRNA) which are processed by natural enzymes (DICER or DCL) to form siRNAs. In some cases, these genes express “hairpin”-forming RNA transcripts with perfect or near-perfect base-pairing; some of the imperfect hairpin-forming transcripts yield a special type of small RNA, termed microRNA (miRNA). In either general method, it is the siRNAs (or miRNAs) that function as “guide sequences” to direct an RNA-degrading enzyme (termed RISC) to cleave or silence the target RNA. In some cases, it is beneficial to integrate an RNAi-inducing gene into the genome of a transgenic organism. An example would be a plant that is modified to suppress a specific gene by an RNAi-inducing transgene. In most methods that are currently in practice, RNAi is triggered in transgenic plants by transgenes that express a dsRNA (either intramolecular or hairpin, or intermolecular in which two transcripts anneal to form dsRNA).

RNA silencing: A general term that is used to indicate RNA-based gene silencing or RNAi.

Sequence identity: The similarity between two (or more) nucleic acid sequences, or two (or more) amino acid sequences, is expressed in terms of the similarity between the sequences, otherwise referred to as sequence identity or homology. Sequence identity is frequently measured in terms of percentage identity (or similarity or homology); the higher the percentage, the more similar the two sequences are. Homologs or orthologs of a specified protein, and the corresponding cDNA sequence, will possess a relatively high degree of sequence identity when aligned using standard methods. This homology will be more significant when the orthologous proteins or cDNAs are derived from species which are more closely related (e.g., different plant sequences), compared to species more distantly related (e.g., human and Arabidopsis sequences).

Typically, orthologs are at least 50%, at least 70%, at least 75%, at least 80%, at least 85%, at least 90%, at least 91%, at least 93%, at least 95%, or at least 98% identical at the nucleotide level and at least 50%, at least 70%, at least 75%, at least 80%, at least 85%, at least 90%, at least 91%, at least 93%, at least 95%, or at least 98% identical at the amino acid level when comparing a protein to an orthologous protein.

Methods of alignment of sequences for comparison are well known in the art. Various programs and alignment algorithms are described in: Smith & Waterman Adv. Appl. Math. 2: 482, 1981; Needleman & Wunsch J. Mol. Biol. 48: 443, 1970; Pearson & Lipman Proc. Natl. Acad. Sci. USA 85: 2444, 1988; Higgins & Sharp Gene, 73: 237-244, 1988; Higgins & Sharp CABIOS 5: 151-153, 1989; Corpet et al. Nuc. Acids Res. 16:10881-10890, 1988; Huang et al. Computer Appls. Biosciences 8:155-165, 1992; and Pearson et al. Meth. Mol. Bio. 24:307-331, 1994. Altschul et al. (J. Mol. Biol. 215:403-410, 1990) present a detailed consideration of sequence alignment methods and homology calculations. Multiple sequences can be aligned, for instance, using programs such as CLUSTAL-W or TCoffee.

The NCBI Basic Local Alignment Search Tool (BLAST) (Altschul et al. J. Mol. Biol. 215:403-410, 1990) is available from several sources, including the National Center for Biotechnology Information (NCBI, Bethesda, Md.) and on the Internet, for use in connection with the sequence analysis programs blastp, blastn, blastx, tblastn and tblastx. It can be accessed at the NCBI website, together with a description of how to determine sequence identity using this program.

For comparisons of amino acid sequences of greater than about 30 amino acids, the Blast 2 sequences function is employed using the default BLOSUM62 matrix set to default parameters, (gap existence cost of 11, and a per residue gap cost of 1). When aligning short peptides (fewer than around 30 amino acids), the alignment should be performed using the Blast 2 sequences function, employing the PAM30 matrix set to default parameters (open gap 9, extension gap 1 penalties). Proteins with even greater similarity to the reference sequence will show increasing percentage identities when assessed by this method, such as at least 70%, at least 75%, at least 80%, at least 90%, at least 91%, at least 92%, at least 93%, at least 94% or at least 95% sequence identity. When less than the entire sequence is being compared for sequence identity, homologs will typically possess at least 75% sequence identity over short windows of 10-20 amino acids, and may possess sequence identities of at least 85% or at least 90% or 95% or more depending on their similarity to the reference sequence. Methods for determining sequence identity over such short windows are described at the NCBI web-site, frequently asked questions (FAQ) page. One of ordinary skill in the art will appreciate that these sequence identity ranges are provided for guidance only; it is entirely possible that strongly significant homologs could be obtained that fall outside of the ranges provided.

An alternative indication that two nucleic acid molecules are closely related is that the two molecules hybridize to each other under stringent conditions. Stringent conditions are sequence-dependent and are different under different environmental parameters. Generally, stringent conditions are selected to be about 5° C. to 20° C. lower than the thermal melting point (T_(m)) for the specific sequence at a defined ionic strength and pH. The T_(m) is the temperature (under defined ionic strength and pH) at which 50% of the target sequence remains hybridized to a perfectly matched probe or complementary strand. Conditions for nucleic acid hybridization and calculation of stringencies can be found in Sambrook et al. (1989) Molecular Cloning: A Laboratory Manual, CSHL, New York and Tijssen (1993) Laboratory Techniques in Biochemistry and Molecular Biology—Hybridization with Nucleic Acid Probes Part I, Chapter 2, Elsevier, New York. Nucleic acid molecules that hybridize under stringent conditions to a human p28ING5 gene sequence will typically hybridize to a probe based on either an entire human p28ING5 gene or selected portions of the gene under wash conditions of 2×SSC at 50° C.

Nucleic acid sequences that do not show a high degree of identity can nevertheless encode similar amino acid sequences, due to the degeneracy of the genetic code. It is understood that changes in nucleic acid sequence can be made using this degeneracy to produce multiple nucleic acid molecules that all encode substantially the same protein.

Silencing agent or molecule: A specific molecule, which can exert an influence on a cell in a sequence-specific manner to reduce or silence the expression or function of a target, such as a target gene or protein. Examples of silence agents include nucleic acid molecules such as naturally occurring or synthetically generated small interfering RNAs (siRNAs), naturally occurring or synthetically generated microRNAs (miRNAs), naturally occurring or synthetically generated dsRNAs, and antisense sequences (including antisense oligonucleotides, hairpin structures, and antisense expression vectors), as well as constructs that code for any one of such molecules.

Specific binding agent: An agent that binds substantially only to a defined target. Thus a protein-specific binding agent binds substantially only the specified protein.

Small interfering RNA (siRNA): RNA of approximately 21-25 nucleotides that is processed from a dsRNA by a DICER enzyme (in animals) or a DCL enzyme (in plants). The initial DICER or DCL products are double-stranded, in which the two strands are typically 21-25 nucleotides in length and contain two unpaired bases at each 3′ end. The individual strands within the double stranded siRNA structure are separated, and typically one of the siRNAs then are associated with a multi-subunit complex, the RNAi-induced silencing complex (RISC). A typical function of the siRNA is to guide RISC to the target based on base-pair complementarity.

Target nucleic acid (to be inhibited): Any nucleic acid containing a sequence that interacts with a miRNA or siRNA, or that has the potential to yield a sequence that interacts with a miRNA or siRNA (for example, through transcription of a locus). The target can be a cellular nucleic acid, such as a miRNA that encodes an essential or non-essential protein, or a foreign nucleic acid, such as a virus-derived or transgene-derived RNA molecule. The target can be a DNA sequence corresponding to a promoter, or a sequence corresponding to any expressed region of a genome, for instance.

Trans-acting siRNAs: A subclass of siRNAs that function like miRNAs to repress expression of target genes, yet have unique biogenesis requirements. Trans-acting siRNAs form by transcription of ta-siRNA-generating genes, cleavage of the transcript through a guided RISC mechanism, conversion of one of the cleavage products to dsRNA, and processing of the dsRNA by DCL enzymes. ta-siRNAs are unlikely to be predicted by computational methods used to identify miRNA because they fail to form a stable foldback structure. Data provided herein demonstrate that ta-siRNAs are not an Arabidopsis oddity, but are conserved among distantly related plant species and have been maintained over a long evolutionary period.

A ta-siRNA precursor is any nucleic acid molecule, including single-stranded or double-stranded DNA or RNA, that can be transcribed and/or processed to release a ta-siRNA.

Transcriptional gene silencing (TGS): A phenomenon that is triggered by the formation of dsRNA that is homologous with gene promoter regions and sometimes coding regions. TGS results in DNA and histone methylation and chromatin remodeling, thereby causing transcriptional inhibition rather than RNA degradation. Both TGS and PTGS depend on dsRNA, which is cleaved into small (21-25 nucleotides) interfering RNAs (Eckhardt, Plant Cell, 14:1433-1436, 2002; Aufsatz et al., Proc. Natl. Acad. Sci. U.S.A., 99:16499-16506, 2002).

Transgenic (plant/fungus/cell/other entity): This term refers to a plant/fungus/cell/other entity that contains recombinant genetic material not normally found in entities of this type and which has been introduced into the entity in question (or into progenitors of the entity) by human manipulation. Thus, a plant that is grown from a plant cell into which recombinant DNA is introduced by transformation is a transgenic plant, as are all offspring of that plant that contain the introduced transgene (whether produced sexually or asexually).

Triggering RNA: RNA transcript of an siRNA generating locus which is converted into a dsRNA molecule by an RNA-dependent RNA polymerase (RDR) in vivo.

Unless otherwise explained, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The singular terms “a,” “an,” and “the” include plural referents unless context clearly indicates otherwise. Similarly, the word “or” is intended to include “and” unless the context clearly indicates otherwise. Hence “comprising A or B” means including A, or B, or A and B. It is further to be understood that all base sizes or amino acid sizes, and all molecular weight or molecular mass values, given for nucleic acids or polypeptides are approximate, and are provided for description. Although methods and materials similar or equivalent to those described herein can be used in the practice or testing of the present invention, suitable methods and materials are described below. All publications, patent applications, patents, and other references mentioned herein are incorporated by reference in their entirety. In case of conflict, the present specification, including explanations of terms, will control. In addition, the materials, methods, and examples are illustrative only and not intended to be limiting.

III. Overview of Several Embodiments

An siRNA-triggering or RNAi-triggering nucleic acid cassette is provided, which cassette comprises an initiator sequence consisting of about 20 to 25 nucleotides, the initiator sequence having an initiation cleavage site between the tenth and eleventh nucleotide counted from the 3′ end of the initiator sequence; and at least one gene suppressing segment in about 21-nucleotide register (or phase) counted either upstream or downstream from the initiation cleavage site, wherein the gene suppressing segment or its complement is substantially complementary to an RNA transcribed from a target gene selected for siRNA inhibition. Also provided are expression vectors which include at least one such nucleic acid cassette operably linked to a promoter.

Specific example initiator sequences are provided herein, for instance, in SEQ ID NOs: 1-142 and 281-285.

Also provided are siRNA- or RNAi-triggering nucleic acids (both cassettes and vectors) that comprise two or more gene suppressing segments. In embodiments having two or more gene suppressing segments, these segments optionally can be directed to (complementary with) two or more different genes or other target sequences selected for siRNA inhibition.

Cells and organisms into which have been introduced a vector or cassette of this disclosure are also provided, as are parts of multicellular organisms that contain such transgenic nucleic acids. Thus, another specific embodiment is a seed for a transgenic plant that expresses RNA for suppressing a target gene, wherein said seed and plant comprise recombinant DNA from which there is transcribed a first RNA comprising an initiator segment consisting of 20-25 nucleotides wherein an initiation cleavage site is located between the tenth and eleventh nucleotide counted from the 3′ end of the initiator segment and wherein said initiator segment is linked to or overlaps with at least one gene suppressing segment of 21-nucleotides in precise 21-nucleotide register counted either upstream or downstream from the initiation cleavage site, wherein said gene suppressing segment or it complement is complementary to miRNA transcribed from said target gene. Yet other embodiments are seed for a transgenic plant further comprising DNA from which there is transcribed a second RNA that hybridizes to said first RNA at said initiation cleavage site. By way of example, the second RNA in some instances is an exogenous miRNA, or a miRNA transcribed from a native plant gene or a heterologous gene or any gene not native to the plant. Seed are also provided for a transgenic plant wherein the first RNA comprises two or more gene suppressing segments.

Optionally, the target gene in any provided organism can be endogenous to that organism. For instance, the target gene may be an endogenous plant gene, an endogenous fungal gene, or an endogenous invertebrate gene, in plant, fungal, or invertebrate embodiments, respectively. There is also therefore provided a seed for a transgenic plant of the disclosure, wherein the plant is corn and the endogenous plant gene encodes lysine ketoglutarate reductase.

Alternatively, the target gene could be exogenous to the transgenic organism, for instance it could be a gene of a pathogen or a pest, such as a plant pathogen or plant pest. In specific examples, such plant pest is a nematode or insect or such pant pathogen is a virus or fungus. In one particular embodiment, a seed for a transgenic plant is provided wherein said plant is soybean and said plant pest is soybean cyst nematode.

In yet another provided seed for a transgenic plant of the disclosure, the recombinant DNA comprises a promoter functional in said plant and operably linked to DNA coding for the first RNA. Such a promoter in some cases is characterized as being a constitutive promoter, an inducible promoter, a tissue specific promoter, a ubiquitous promoter or a combination thereof.

Also provided are seed for a transgenic plant as described, wherein the plant is a corn, soybean, cotton, canola, wheat or rice plant.

Optionally, in any of the provided embodiments of seed for a transgenic plant, the recombinant DNA further comprises nucleotides for expressing at least one protein.

Also provided herein are methods of inhibiting expression of a target gene in a cell, the method comprising exposing the cell to an effective amount of a RNAi-triggering or siRNA-triggering nucleic acid cassette or a vector as described. The cell can be, for instance, a plant cell, a fungal cell, or an invertebrate cell. It is particularly contemplated that the cell could be in vitro or in vivo, for instance, contained in a multicellular organism.

Yet another method is provided, which is a method of inducing production of at least one siRNA in a cell. This method involves transforming the cell with a recombinant nucleic acid molecule comprising a nucleic acid cassette as described herein, wherein the recombinant nucleic acid molecule directs expression of a miRNA from the nucleic acid cassette, which miRNA is processed in the cell to produce at least one siRNA, thereby inducing the production of at least one siRNA in the cell.

Another method is provided, which is a method of inhibiting activity of a target gene in a plant cell. This method involves transforming the plant cell with a recombinant nucleic acid molecule comprising a nucleic acid cassette as described herein, wherein at least one gene suppressing segment of the nucleic acid cassette is specific for the target gene; and expressing the nucleic acid molecule, thereby producing in the plant cell at least one siRNA specific for the target gene which inhibits activity of the target gene in the plant cell.

Another method is a method of inhibiting activity of a target gene in a plant seed, comprising providing in cells of said plant a recombinant nucleic acid molecule comprising a nucleic acid cassette of the disclosure, wherein at least one gene suppressing segment of the nucleic acid cassette is specific for the target gene and wherein said cassette comprises a seed-specific promoter operably linked to said initiator sequence and said at least one gene suppressing segment; a recombinant DNA with a seed specific promoter operably linked to DNA transcribing an miRNA that hybridizes to said initiator sequence at said initiation cleavage site; both.

IV. Methods of Triggering RNA Interference (RNAi)

Plants and animals use small RNAs [microRNAs (miRNAs) and siRNAs] as guides for posttranscriptional and epigenetic regulation of target genes. In plants, miRNAs and trans-acting (ta) siRNAs form through distinct biogenesis pathways, although they both interact with target transcripts and guide cleavage. An integrated approach to identify targets of Arabidopsis thaliana miRNAs and ta-siRNAs revealed several new classes of small RNA-regulated genes. These included conventional genes, such as the RNAi factor Argonaute2 (miR403), an E2-ubiquitin conjugating enzyme (miR399), and two Auxin Response Factors (TAS3 ta-siRNAs). Five ta-siRNA-generating transcripts were identified as targets of miR173 or miR390. Rather than functioning to negatively regulate these transcripts, miR173- and miR390-guided cleavage was shown to set the 21-nucleotide phasing for ta-siRNA precursor processing. These data support a model in which miRNA-guided formation of a 5′ or 3′ terminus within pre-ta-siRNA transcripts, followed by RDR6-dependent formation of dsRNA and DCL1-mediated processing, yields phased ta-siRNAs that negatively regulate other genes.

In Example 1, new Arabidopsis miRNA and ta-siRNA targets are identified through an integrated strategy that included computational, genome-wide expression profiling and experimental validation components. Through identification of genes significantly upregulated in miRNA or ta-siRNA biogenesis mutants (hyl1-2, hst-15, dcl1-7, hen1-1, and rdr6-2) using microarrays, data is presented herein that demonstrates identification of genes potentially regulated by miRNAs and ta-siRNAs. Two genes, ARF3 and ARF4, were found to contain a duplicated conserved 21 sequence. Analysis of an Arabidopsis sequence, conserved across angiosperms, identified small RNAs typical of ta-siRNAs that could target ARF3 and ARF4 miRNAs.

As taught herein, RNAi can be induced using transgenes or other delivered genes or constructs that encode non-dsRNA-forming transcripts. This method exploits the occurrence of natural siRNAs and miRNAs that can: 1) interact with the delivered transcript through base-pairing, 2) engage a natural dsRNA-forming enzyme termed an RNA-dependent RNA polymerase (RDR), and 3) engage natural DICER-LIKE (e.g., DCL1) enzymes to form siRNAs in precise and predictable register. The siRNAs that form under this mechanism can function to suppress target miRNA expression if the target contains a high degree of sequence complementarity to the siRNAs. One advantage of this method is that it circumvents the need to deliver a dsRNA-forming entity or transgene to initiate the RNAi process of gene suppression.

The methods described herein also enable RNAi to target multiple miRNAs or other target RNAs, depending on the specific siRNA units designed into the construct. The method also permits highly specific siRNA formation rather than non-specific siRNA formation (which results in an increased chance of off-target effects) using conventional dsRNA-forming constructs. The method also may take advantage of naturally occurring miRNAs and siRNAs with tissue- or cell-specific expression characteristics to drive tissue—and cell-specificity of RNAi. Alternatively, a heterologous miRNA or siRNA can be added to the cell (for instance by providing an expression cassette encoding such molecule) in order to provide the receptive element necessary to mediate cleavage and release of siRNAs from a RNAi-triggering nucleic acid cassette.

Also provided herein are nucleic acid constructs that generate, in vivo, siRNAs useful for triggering RNAi-like responses. Representative methods for producing such constructs, as well as guidelines for selecting elements included therein, are provided.

V. Initiator Sequences and Identification Thereof.

When present in an RNA molecule, an initiator sequence serves as a site that interacts with a miRNA or siRNA, which guides cleavage through the activity of RISC. Cleavage at an initiator sequence cleavage site (usually between the tenth and eleventh nucleotide counting from the 3′ end of the initiator sequence) sets the 21-nucleotide register within the RNA molecule, resulting in additional cleavages of the RNA molecule by the Dicer or DCL protein at usually 21-nucleotide intervals upstream and/or downstream of the initiator sequence. In an engineered RNAi-triggering nucleic acid cassette as described herein, such additional, in-phase cleavages release siRNAs from RNA molecules that are transcribed from the cassette. Representative initiator sequences in RNA form, also referred to as miRNA target sequences, are shown in SEQ ID NOs: 1-142 and 281-285.

Any sequence in an RNA molecule to which a siRNA or miRNA can bind by complementarity, or any sequence in a DNA molecule that encodes for such a sequence in an RNA molecule, can serve as an initiator sequence. In addition to representative initiator sequences provided herein, methods are provided for identifying additional sequences from other genes, other plant species, or any other organisms. An integrated system is provided herein for identifying new miRNA and ta-siRNA targets. This system involves computational, genome-wide expression profiling and experimental validation components. As demonstrated in Example 1, the system reliably identifies prospective initiator sequences, which are target sites for miRNAs. Representative initiator sequences, including many identified and validated using the computational system provided, are shown in SEQ ID NO: 1-142 and 281-285.

In general, an initial pool of predicted target sites for validated miRNAs was created by FASTA searches using a +15/−10 scoring matrix of the TAIR AGI transcript database, limited to 4 mispairs, 4 G:U pairs, to a total of seven, with 100,000 results obtained for the reverse complement of each small RNA. A single, one nucleotide gap was allowed. In the embodiment described in Example 1, the miRNA target prediction algorithm used to score these sites was developed based on 94 experimentally validated and predicted family members of miRNA-target site duplexes, including 66 targets validated in previous studies plus 28 family members with conserved miRNA target sites (Target Rule Set).

Three filters based on the Target Rule Set were applied sequentially. In each case, base one was considered to be the first nucleotide from the 5′ end of the miRNA. First, targets with a mismatch score greater than four were excluded. The Minimum Free Energy (ΔG_(MFE)) of a perfect miRNA-target duplex was determined by computationally attaching a perfectly complementary target sequence to a small RNA using a four base “gap” linker sequence (——). The free energy each miRNA-predicted target site (ΔG_(target)) was determined by computationally linking the target sequence to the small RNA, from which the MFE ratio was calculated (ΔG_(target)/ΔG_(MFE)). All thermodynamic values were calculated using RNAFold in the Vienna RNA package. Remaining targets with an MFE ratio less than 0.73 were excluded. Conservation of the target sequence was determined by using the region containing the target sequence in a BLAST search against target transcripts, for instance, the Arabidopsis transcript and EST databases, NCBI EST database, and O. sativa Unigene database in Example 1, and removing any targets with no matches with less than three base changes in the target sequence. Duplicate target sites (identical genes) for related miRNA family members were combined in the final target gene set.

VI. Selection of Initiation Sequence for RNAi-Triggering Constructs

Any nucleic acid sequence that will serve to mediate cleavage by a miRNA- or siRNA-guided RISC mechanism may be used as the initiator sequence in constructs provided herein. Examples of such sequences are provided herein, for instance in SEQ ID NOs: 1-142 and 281-285. It is noted that the presented sequences are RNA sequences. It will be apparent to one of ordinary skill in the art that DNA constructs, such as DNA constructs used in transformation of target cells, will contain the DNA equivalent of the listed RNA sequences.

By way of example, SEQ ID NO: 1 is GUGCUCUCUCUCUUCUGUCA (shown 5′ to 3′). The corresponding miRNA sequence (also shown 5′ to 3′) is UGACAGAAGAGAGUGAGCAC (SEQ ID NO: 155); this is the reverse complement of the target/initiation sequence shown in SEQ ID NO: 1. A DNA construct containing an initiator sequence corresponding to SEQ ID NO: 1 would include the following sequence: 5′-GTGCTCTCTCTCTTCTGTCA-3′ (SEQ ID NO: 280), which may be generated in double-stranded format depending on the embodiment. In such a DNA construct, the transcription site and strandedness would be designed so the initiator sequence is produced as shown in SEQ ID NO: 1. This enables the native or provided, corresponding miRNA to bind by complementarity to the initiator sequence.

It is noted that, in many embodiments, the initiator sequence and a first gene suppressing element may overlap. This arises because the register that is set by the initiator cleavage site begins at that site. Thus, the nucleotides of the 5′ or 3′ portion of the initiator sequence will be incorporated into the first 21-mer gene suppressing element (e.g., siRNA) produced. This is illustrated, for instance, in FIGS. 5A-C, FIG. 6A, and FIG. 7.

Many miRNAs and their corresponding target sequences (also referred to herein as initiator sequences) are highly conserved among distantly related species. In plants in particular, target sequences that are recognized by related miRNAs in different species differ only by one to three bases, making computational prediction of target sites by similarity searches relatively straightforward (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004). Owing to the high level of conservation of miRNAs, a functional miRNA target site from one plant species is likely to be functional in a species which expresses the targeting miRNA. For example, miRNA target genes from Arabidopsis expressed in Nicotiana are cleaved by endogenous miRNAs (Llave et al., Science 297:2053-2056, 2002). In Oryza and Populus, for which near-complete genomic sequence information exists, homologous miRNA and/or target genes have been identified for 20 of 25 validated miRNA families in Arabidopsis. For these 20 conserved miRNA families, conserved homologous miRNA and/or target genes have also been found in several other plant species with less complete sequence information.

By way of example, in Table 2, miRNAs are grouped by related families (one to three nucleotide differences), or by targets of the miRNA family. Presence of the miRNA or target in a listed plant genus is indicated by an “X”. In generating this table, miRNA genes were considered to be conserved if the homologous sequence was within 1-3 nucleotides of the Arabidopsis sequence, formed a stable foldback structure, and did not encode an identifiable protein. Target sites were considered to be conserved if the target gene in the specified genus encodes a protein similar to the Arabidopsis target gene. TABLE 2 Conservation of miRNAs and target genes in plants. miR156/157 miR158 miR159 miR160 miR161 miR162 miR163 Genus miRNA Target miRNA Target miRNA Target miRNA Target miRNA Target miRNA Target miRNA Acorus X Aegilops Allium X Amborella Antirrhinum X X X Apium Arabidopsis X X X X X X X X X X X X Arachis Beta Betula Brassica X X Brugeria Capsicum X X Ceratopteris X X Citrus X X Cryptomeria Cycas Descurainia Eschscholzia X X Eucalyptus Glycine X X X X X X X Gossypium X X X Hedyotis Helianthus X X Hordeum X X X X Ipomoea X X Lactuca X X Linum Liriodendron X X X Lotus X X X Lupinus X Lycopersicon X X X Malus Manihot Mesembryanthemum Medicago X X X X X X Nicotiana X X X X X Nuphar X Oryza X X X X X X X X Pennisetum X Persea Phaseolus X X Phycomitrella X X Picea Pinus X X Poncirus Populus X X X X X X X X Prunus X X X Gossypium X X X Hedyotis Helianthus X X Hordeum X X X X Ipomoea X X Lactuca X X Linum Liriodendron X X X Lotus X X X Lupinus X Lycopersicon X X X Malus Menihot Mesembryanthemum Medicago X X X X X X Nicotiana X X X X X Nuphar X Oryza X X X X X X X X Pennisetum X Persea Phaseolus X X Phycomitrella X X Picea Pinus X X Poncinis Populus X X X X X X X X Prunus X X X miR163 miR164 miR165/166 miR167 miR168 miR169 miR170/171 Genus Target miRNA Target miRNA Target miRNA Target miRNA Target miRNA Target miRNA Target Acorus X Aegilops X Allium X X Amborella Antirrhinum X X Apium Arabidopsis X X X X X X X X X X X X X Arachis Beta X Betula X Brassica X X X Brugeria Capsicum X Ceratopteris X X X X X Citrus X Cryptomeria X Cycas Descurainia X Eschscholzia Eucalyptus Glycine X X X X X X X X X X Gossypium X X Hedyotis X X X X Helianthus X Hordeum X X X X X Ipomoea X X Lactuca X X X Linum Liriodendron X X X X X X Lotus X X Lupinus X Lycopersicon X X X X Malus Manihot Mesembryanthemum Medicago X X X X X X X Nicotiana X X X X X X X Nuphar Oryza X X X X X X X X X Pennisetum Persea Phaseolus X Phycomitrella Picea Pinus X X Poncirus X X Populus X X X X X X X X X X Prunus X Gossypium X X Hedyotis X X X X Helianthus X Hordeum X X X X X Ipomoea X X Lactuca X X X Linum Liriodendron X X X X X X Lotus X X Lupinus X Lycopersicon X X X X Malus Menihot Mesembryanthemum Medicago X X X X X X X Nicotiana X X X X X X X Nuphar Oryza X X X X X X X X X Pennisetum Persea Phaseolus X Phycomitrella Picea Pinus X X Poncinis X X Populus X X X X X X X X X X Prunus X miR172 miR173 miR319 miR390/391 miR393 miR394 Genus miRNA Target miRNA Target miRNA Target miRNA Target miRNA Target miRNA Target Acorus X Aegilops Allium Amborella Antirrhinum X X X X Apium Arabidopsis X X X X X X X X X X X X Arachis Beta Betula Brassica X X Brugeria X X Capsicum X Ceratopteris X X Citrus X X X Cryptomeria Cycas Descurainia X Eschscholzia X X Eucalyptus X Glycine X X X X X X X X X Gossypium X X X X X X Hedyotis Helianthus X X Hordeum X X X X X X Ipomoea X X Lactuca X X X Linum X Liriodendron X X X X Lotus X X X Lupinus Lycopersicon X X X X X Malus X Manihot X X Mesembryanthemum X X Medicago X X X X X Nicotiana X X X X Nuphar X Oryza X X X X X X X X X Pennisetum X Persea X X X Phaseolus X Phycomitrella X X Picea X X Pinus X X Poncirus Populus X X X X X X X X Prunus X Gossypium X X X X X X Hedyotis Helianthus X X Hordeum X X X X X X Ipomoea X X Lactuca X X X Linum X Liriodendron X X X X Lotus X X X Lupinus Lycopersicon X X X X X Malus X Menihot X X Mesembryanthemum X X Medicago X X X X X Nicotiana X X X X Nuphar X Oryza X X X X X X X X X Pennisetum X Persea X X X Phaseolus X Phycomitrella X X Picea X X Pinus X X Poncinis Populus X X X X X X X X Prunus X miR395 miR396 miR397 miR398 miR399 miR403 Genus miRNA Target miRNA Target miRNA Target miRNA Target miRNA Target miRNA Target Acorus X X X Aegilops X Allium X X X Amborella X X Antirrhinum Apium X Arabidopsis X X X X X X X X X X X X Arachis X Beta X X X Betula Brassica X X X X Brugeria Capsicum X X X Ceratopteris Citrus X X X X Cryptomeria X X Cycas X Descurainia Eschscholzia X X Eucalyptus Glycine X X X X X X X Gossypium X X X Hedyotis X X Helianthus X X Hordeum X X X X X Ipomoea X Lactuca X X X X Linum Liriodendron X X X Lotus X X X X X X Lupinus X Lycopersicon X X X X X Malus Manihot Mesembryanthemum X Medicago X X X X X X X X Nicotiana X X X X X X Nuphar X Oryza X X X X X X X Pennisetum Persea Phaseolus X X Phycomitrella Picea X Pinus X X X Poncirus X X Populus X X X X X X X X X X Prunus X X Gossypium X X X Hedyotis X X Helianthus X X Hordeum X X X X X Ipomoea X Lactuca X X X X Linum Liriodendron X X X Lotus X X X X X X Lupinus X Lycopersicon X X X X X Malus Menihot Mesembryanthemum X Medicago X X X X X X X X Nicotiana X X X X X X Nuphar X Oryza X X X X X X X Pennisetum Persea Phaseolus X X Phycomitrella Picea X Pinus X X X Poncinis X Populus X X X X X X X X X X Prunus X X VII. Selection of Gene Suppressing Elements and Targets for RNAi-Triggering Constructs

A gene suppressing element is any nucleotide sequence which leads to the downregulation of the final functional product of a gene, either RNA or protein. For RNAi, this sequence is a 20 to 25 nucleotide RNA with complementarity to the gene to be suppressed.

Beneficial characteristics of a gene suppressing element useful for inclusion “in register” in an RNAi-triggering cassette are those known to produce a functional (measurably effective for reducing expression of a target gene/sequence) siRNA sequence. Empirical studies such as described herein can be used to identify gene suppressing elements. There are also art-recognized guidelines that provide predictive RISC incorporation rules (Khvorova et al., Cell 115:209-216, 2003; Schwarz et al., Cell 115:199-208, 2003)

Specific gene suppressive elements can be designed depending on the target sequences (e.g., gene(s), regulatory sequence or invasive or pathogenic entities) to be suppressed. Gene suppressive elements (usually about 21-nucleotides in length), complementary to a target (e.g., gene transcript) to be suppressed, are included the RNAi-triggering cassette, in register, in either sense or antisense orientation starting from the initiation cleavage site. At least eight, possibly more, unique (or duplicated) sequences can be included either upstream or downstream of the initiation cleavage site. Beyond the eighth register, processing by DICER or DCL enzymes may become less precise, and the 21 nucleotide register is more likely to be compromised. Even so, gene suppressive elements beyond eight can be optionally included in constructs, including elements that are not in precise 21-nucleotide register.

Gene suppressive elements contained in the RNAi-inducing cassette can be designed to target one or more genes, with one or more unique target sequences. Potential targets might include, but are not limited to, pathogens, toxins, genes that lead to production of undesirable flavors and/or odors, reproductive genes which could facilitate pollination or increase crop yield, color or pigment genes, transcription factors, pathogen response genes, and genes involved in cold/water/drought and other environmental stresses. Related gene families, pathway-related genes, or quantitative trait loci also may be targeted, for instance in a single RNAi-inducing cassette or a set of such cassettes. Such family-directed cassettes are useful in the down-regulation of all (or select) members of a gene family, all (or select) members in a biosynthetic pathway, and so forth, thereby yielding coordinated downregulation of sets of genes.

Additional gene suppressive elements that are contemplated are directed to the genes of pathogens or pests associated with the resultant target organism; endogenous genes of the target organism that are involved in response to such pathogens or pests; and exogenous (heterologous) transgenes provided to the target organism (separately or in a single construct containing the RNAi-triggering cassette) to influence infection or infestation or association of such pathogens or pests.

Gene suppressive elements also can be from any endogenous gene that it is desired to downregulate. Genes that negatively influence a characteristic (that cause an unpleasant flavor, aroma, etc.) of the target organism; genes that lead to production of a toxin, allergen, or other detrimental component (e.g., erucic acid in an oil seed; hazardous allergens in peanuts; toxic compounds in potatoes, apricots); genes involved in reproduction (where inhibition will result in increased vegetative production in a plant, for instance); genes involved in male fertility in plants (in order to produce male-sterile, non-selfing plants); genes that enhance vegetative growth (where reproductive growth is desired over seed production, such as in leaf crops like lettuce and spinach); genes that govern or influence color (for instance, the color of leaves or bracts, flowers, stems, fruit, and so forth, where it is desired to change the color); genes that govern or influence susceptibility to stress (such as cold stress, water or drought stress, shear stress, and so forth); and transcription factors (where it is desired to influence a downstream gene or set of genes the expression of which is influenced by the transcription factor) are all examples of conceived of targets for suppression using the methods and constructs described herein.

It is further contemplated that transgenic plants produced using methods and cassettes described herein can be further enhanced with stacked traits, e.g. a crop having an enhanced agronomic trait resulting from gene suppression from an siRNA-triggering nucleic acid cassette in combination with DNA expressing a protein supplementing the agronomic trait, or conferring another trait such as herbicide and/or pest resistance traits. For example, a trait can be enhanced by simultaneous suppression of one gene and over expression of another gene to provide transgenic corn with an enhance level of the amino acid lysine. Transgenic corn with recombinant DNA for expression of the gene encoding dihydodipicolinate synthase in the lysine synthetic pathway and suppression of the gene encoding lysine ketoglutarate reductase (LKR) in the lysine catabolic pathway has enhanced lysine as compared to control plants. Following the methods of this disclosure, the suppression of LKR can be effected by identifying a 21-nucleotide segment of the gene encoding LKR for insertion into an siRNA-triggering nucleic acid cassette. To effect the enhance lysine trait preferentially in seed tissue, seed specific promoters are used to express the siRNA-triggering nucleic acid cassette and/or to express the RNA that hybridizes to the initiation cleavage site in the initiator segment.

The siRNA-triggering nucleic acid cassettes can also be stacked with DNA imparting other traits of agronomic interest including DNA providing herbicide resistance or insect resistance such as using a gene from Bacillus thuringensis to provide resistance against lepidopteran, coliopteran, homopteran, hemiopteran, and other insects. Herbicides for which resistance is useful in a plant include glyphosate herbicides, phosphinothricin herbicides, oxynil herbicides, imidazolinone herbicides, dinitroaniline herbicides, pyridine herbicides, sulfonylurea herbicides, bialaphos herbicides, sulfonamide herbicides and glufosinate herbicides. Persons of ordinary skill in the art are enabled in providing stacked traits by reference to U.S. patent application publications 2003/0106096A1 and 2002/0112260A1 and U.S. Pat. Nos. 5,034,322; 5,776,760; 6,107,549 and 6,376,754 and to insect/nematode/virus resistance by reference to U.S. Pat. Nos. 5,250,515; 5,880,275; 6,506,599; 5,986,175 and U.S. Patent Application Publication 2003/0150017 A1, all of which are incorporated herein by reference.

VIII. Constructs for Triggering RNAi

RNAi-inducing constructs contain an initiator (target) sequence and one or more gene-suppressing elements in-phase or near-phase to the initiation cleavage site in the in initiator (target) sequence. These are operably linked to a promoter or other regulatory sequence which governs transcription from the RNAi-triggering cassette (comprising the initiator sequence with an initiator cleavage site and at least one gene suppressing element upstream or downstream of the initiator sequence and that may optionally overlap a portion of the initiator sequence) in order to generate a single-stranded RNA comprising one or more elements that, when cleaved in register or nearly in register from the in initiator cleavage site, yield one of more siRNA.

DNA constructs for plant transformation are assembled using methods well known to persons of ordinary skill in the art, and typically comprise a promoter operably linked to DNA, the expression of which provides an enhanced trait, e.g. by gene suppression using an siRNA-triggering (or RNAi-triggering) nucleic acid cassette alone or in combination with a DNA for expressing a protein or another RNA molecule. Other construct components may include additional regulatory elements, such as 5′ introns for enhancing transcription, 3′ untranslated regions (such as polyadenylation signals and sites), DNA for transit or signal peptides.

Vectors suitable for stable transformation of culturable cells are well known. Typically, such vectors include a multiple-cloning site suitable for inserting a cloned nucleic acid molecule, such that it will be under the transcriptional control of 5′ and 3′ regulatory sequences. In addition, transformation vectors include one or more selectable markers; for bacterial transformation this is often an antibiotic resistance gene. A number of vectors suitable for stable transformation of plant cells or for the establishment of transgenic plants have been described in, e.g., Pouwels et al. (Cloning Vectors: A Laboratory Manual, 1985, Suppl., 1987), Weissbach and Weissbach (Meth. Plant Mol. Bio., Academic Press, 1989) and Gelvin et al. (Plant Molecular Biology Manual, Kluwer Academic Publishers, 1990). In addition, on of ordinary skill in the art is aware of the components useful in a transformation vector, and will be able to select and assemble such components in order to tailor make a vector for their specific use.

Typically, transformation and expression vectors include, for example, one or more cloned plant genes under the transcriptional control of 5′ and 3′ regulatory sequences and a dominant selectable marker. Such plant expression vectors also can contain a promoter regulatory region (e.g., a regulatory region controlling inducible or constitutive, environmentally- or developmentally-regulated, or cell- or tissue-specific expression), a transcription initiation start site, a ribosome binding site, an RNA processing signal, a transcription termination site, and/or a polyadenylation signal.

Also included in most expression vectors will be a promoter, which is an array of nucleic acid control sequences which direct transcription of a nucleic acid. A promoter includes necessary nucleic acid sequences near the start site of transcription, such as, in the case of an RNA polymerase II type promoter, a TATA element. Optionally, a promoter may include an enhancer and/or a repressor element. Enhancer and repressor elements can be located adjacent to, or distal to the promoter, and can be located as much as several thousand base pairs from the start site of transcription. Examples of promoters that can be used in the present disclosure include, but are not limited to the Cauliflower mosaic virus 35S promoter, SV40 promoter, the CMV enhancer-promoter, the CMV enhancer/β-actin promoter, and the tissue-specific promoter probasin. Other promoter sequences that can be used to construct nucleic acids and practice methods disclosed herein include, but are not limited to: the lac system, the trp system, the tac system, the trc system, major operator and promoter regions of phage lambda, the control region of fd coat protein, the early and late promoters of SV40, promoters derived from polyoma, adenovirus, retrovirus, baculovirus and simian virus, the promoter for 3-phosphoglycerate kinase, the promoters of yeast acid phosphatase, the promoter of the yeast alpha-mating factors, any retroviral LTR promoter such as the RSV promoter; inducible promoters, such as the MMTV promoter; the metallothionein promoter; heat shock promoters; the albumin promoter; the histone promoter; the α-actin promoter; TK promoters; B19 parvovirus promoters; the SV10 late promoter; the ApoAI promoter and combinations thereof.

In certain embodiments, a promoter is a strong promoter, which promotes transcription of RNA at high levels, for example at levels such that the transcriptional activity of the promoter generally accounts for about 5% or more of the transcriptional activity of all transcription within a cell. The strength of a promoter is often tissue-specific and thus may vary from one cell type to another. Examples of strong promoters include, but are not limited to: viral promoters (such as CaMV 35S or CoYMV), ubiquitin promoter (such as Ubi-1 from maize), actin promoter (e.g, Act from rice), nopaline synthase promoter, and the octopine synthase promoter, pEMU promoter, MAS promoter, or a H3 histone promoter.

In another embodiment, a promoter is a tissue-specific, cell-specific, or developmental stage-specific promoter, which promotes transcription in a single cell or tissue type, a narrow range of cells or tissues, or in one or more specific developmental stages, or at least promotes measurable more transcription in such. Examples of such promoters include, but are not limited to: anther-specific, embryo-specific, endosperm-specific, floral-specific, leaf-specific, meristem-specific, nodule-specific, phloem-specific, seed-specific, stem-specific, stomata-specific, trichome-specific, root-specific, tapetum-specific, and xylem-specific promoters. See, for instance, Carpenter et al., The Plant Cell 4:557-571, 1992, Denis et al., Plant Physiol. 101:1295-1304 1993, Opperman et al., Science 263:221-223, 1993, Stockhause et al., The Plant Cell 9:479-489, 1997; Roshal et al., EMBO J. 6:1155, 1987; Schemthaner et al., EMBO J. 7:1249, 1988; and Bustos et al., Plant Cell 1:839, 1989.

Inducible promoters or gene-switches are used to both spatially and temporally regulate gene expression. By allowing the time and/or location of gene expression to be precisely regulated, gene-switches or inducible promoters may control deleterious and/or abnormal effects caused by overexpression or non-localized gene expression. Thus, for a typical inducible promoter in the absence of the inducer, there would be little or no gene expression while, in the presence of the inducer, expression should be high (i.e., off/on). Examples of stimulus-responsive promoters include, but are not limited to hormone-responsive promoters (e.g, ethanol inducible alcR-encoded transcriptional activator (ALCR), a promoter derived from alca), light-inducible promoters (such as a rbcS promoter), metal-inducible promoters, heat-shock promoters, wound-inducible and stress-inducible (e.g., drought stress, salt stress, shear stress, nutrient stress) promoters. Others are activated by chemical stimuli, such as IPTG or Tetracycline (Tet), or galactose. Other promoters are responsive to pathogen infection or insect damage.

A number of controllable gene expression systems have been devised, including those regulated by light (e.g., the pea rbcS-3A promoter, Kuhlemeier et al., The Plant Cell, 1:471-478, 1989, and the maize rbcS promoter, Schaffner and Sheen, Plant Cell 3:997, 1991), heat (Callis et al., Plant Physiol. 88:965, 1988; Ainley and Key, Plant Mol. Biol., 14:949-967, 1990; Holtorf et al., Plant Mol. Biol. 29:637-646, 1995), pathogens (PR1-a; Williams et al., Biotechnology 10:540-543, 1992; Gatz, Annu. Rev. Plant Physiol. Plant Mol. Biol. 48:89-108, 1997), herbicide safeners (In2-2, GST-27; De Veylder et al., Plant Cell Physiol. 38:568-577, 1997), light (Kuhlemeier et al., Plant Cell 1:471-478, 1989), wounding (Firek et al. Plant Mol. Biol. 22:129-212, 1993), ethanol (Salter et al., Plant J. 16:127-132, 1998), phytohormones (Li et al., Plant Cell 3:1167-1175, 1991), steroids (Aoyama and Chua, Plant J, 11:605-612, 1997), wounding (e.g., wunli, Siebertz et al., Plant Cell 1:961, 1989), hormones, such as abscisic acid (Marcotte et al., Plant Cell 1:969, 1989); chemicals such as methyl jasminate or salicylic acid (see Gatz et al., Ann. Rev. Plant Physiol. Plant Mol. Biol. 48:89-108 1997), and tetracycline (Gatz et al., Plant J. 2:397-404, 1992; Weinmann et al., Plant J., 5:559-569, 1994; Sommer et al., Plant Cell Rep. 17:891-896, 1998) (from Granger & Cyr, Plant Cell Reports 20:227-234, 2001).

It is specifically contemplated that useful promoters will include promoters present in plant genomes as well as promoters from other sources, including nopaline synthase (nos) promoter and octopine synthase (ocs) promoters carried on tumor-inducing plasmids of Agrobacterium tumefaciens, caulimovirus promoters such as the cauliflower mosaic virus or figwort mosaic virus promoters. For instance, see U.S. Pat. Nos. 5,322,938 and 5,858,742 which disclose versions of the constitutive promoter derived from cauliflower mosaic virus (CaMV35S), U.S. Pat. No. 5,378,619 which discloses a Figwort Mosaic Virus (FMV) 35S promoter, U.S. Pat. No. 5,420,034 which discloses a napin promoter, U.S. Pat. No. 6,437,217 which discloses a maize RS81 promoter, U.S. Pat. No. 5,641,876 which discloses a rice actin promoter, U.S. Pat. No. 6,426,446 which discloses a maize RS324 promoter, U.S. Pat. No. 6,429,362 which discloses a maize PR-1 promoter, U.S. Pat. No. 6,232,526 which discloses a maize A3 promoter, U.S. Pat. No. 6,177,611 which discloses constitutive maize promoters, U.S. Pat. No. 6,433,252 which discloses a maize L3 oleosin promoter, U.S. Pat. No. 6,429,357 which discloses a rice actin 2 promoter and intron, U.S. Pat. No. 5,837,848 which discloses a root specific promoter, U.S. Pat. No. 6,084,089 which discloses cold inducible promoters, U.S. Pat. No. 6,294,714 which discloses light inducible promoters, U.S. Pat. No. 6,140,078 which discloses salt inducible promoters, U.S. Pat. No. 6,252,138 which discloses pathogen inducible promoters, U.S. Pat. No. 6,175,060 which discloses phosphorus deficiency inducible promoters, U.S. Pat. No. 6,635,806 which discloses a coixin promoter, U.S. 2002/0192813 A1 which discloses 5′, 3′ and intron elements useful in the design of effective plant expression vectors, U.S. 2004/0216189 A1 which discloses a maize chloroplast aldolase promoter, and U.S. 2004/0123347 A1 which discloses water-deficit inducible promoters, all of which are incorporated herein by reference. These and numerous other promoters that function in plant cells are known to those skilled in the art and available for use in recombinant polynucleotides of the present disclosure to provide for expression of desired genes in transgenic plant cells.

Furthermore, the promoters may be altered to contain multiple “enhancer sequences” to assist in elevating gene expression. Such enhancers are known in the art. By including an enhancer sequence with such constructs, the expression of the selected protein may be enhanced. These enhancers often are found 5′ to the start of transcription in a promoter that functions in eukaryotic cells, but can often be inserted upstream (5′) or downstream (3′) to the coding sequence. In some instances, these 5′ enhancing elements are introns. Particularly useful as enhancers are the 5′ introns of the rice actin 1 (see U.S. Pat. No. 5,641,876) and rice actin 2 genes, the maize alcohol dehydrogenase gene intron, the maize heat shock protein 70 gene intron (U.S. Pat. No. 5,593,874) and the maize shrunken 1 gene.

In other aspects, sufficient expression in plant seed tissues is desired to effect improvements in seed composition. Exemplary promoters for use for seed composition modification include promoters from seed genes such as napin (U.S. Pat. No. 5,420,034), maize L3 oleosin (U.S. Pat. No. 6,433,252), zein Z27 (Russell et al. (1997) Transgenic Res. 6(2):157-166), globulin 1 (Belanger et al (1991) Genetics 129:863-872), glutelin 1 (Russell (1997) supra), and peroxiredoxin antioxidant (Per1) (Stacy et al. (1996) Plant Mol. Biol. 31(6):1205-1216).

Recombinant DNA constructs prepared in accordance with this disclosure will often include a 3′ element that typically contains a polyadenylation signal and site, especially if the recombinant DNA is intended for protein expression as well as gene suppression. Well-known 3′ elements include those from Agrobacterium tumefaciens genes such as nos 3′, tml 3, tmr 3, tms 3, ocs 3′, tr7 3′, e.g. disclosed in U.S. Pat. No. 6,090,627, incorporated herein by reference; 3′ elements from plant genes such as wheat (Triticum aesevitum) heat shock protein 17 (Hsp17 3), a wheat ubiquitin gene, a wheat fructose-1,6-biphosphatase gene, a rice glutelin gene a rice lactate dehydrogenase gene and a rice beta-tubulin gene, all of which are disclosed in U.S. published patent application 2002/0192813 A1, incorporated herein by reference; and the pea (Pisum sativum) ribulose biphosphate carboxylase gene (rbs 3′), and 3′ elements from the genes within the host plant.

Constructs and vectors may also include a transit peptide for targeting of a gene target to a plant organelle, particularly to a chloroplast, leucoplast or other plastid organelle. For descriptions of the use of chloroplast transit peptides see U.S. Pat. No. 5,188,642 and U.S. Pat. No. 5,728,925, incorporated herein by reference. For description of the transit peptide region of an Arabidopsis EPSPS gene useful in the provided constructs; see Klee et al (MGG 210:437-442, 1987).

For expression of constructs in fungi such as yeast, there are a variety of promoters to choose from for various purposes. The following are provided by way of example, and are not meant to be in any way limiting:

The Gal 1,10 promoter: This promoter is inducible by galactose. It can be used to turn expression of an associated nucleic acid on and off, for instance in order to follow the time dependent effects of expression. The Gal promoter is slightly leaky, and so is appropriate where it is not essential to have absolutely no expression of the passenger gene in the absence of galactose. The Gal 1 gene and Gal 10 gene are adjacent and transcribed in opposite directions from the same promoter region. The regulatory region containing the UAS sequences can be cut out on a DdeI Sau3A fragment and placed upstream of any other gene to confer galactose inducible expression and glucose repression.

PGK, GPD and ADH1 promoters: These are high expression constitutive promoters. PGK=phosphoglycerate kinase, GPD=glyceraldehyde 3 phosphate dehydrogenase, ADH1=alcohol dehydrogenase

ADH2 promoter: This gene is glucose repressible and it is strongly transcribed on non-fermentable carbon sources (similar to GAL 1,10, except not inducible by galactose).

CUP1 promoter: This is the metalothionein gene promoter. It is activated by copper or silver ions added to the medium. The CUP1 gene is one of a few yeast genes that is present in yeast in more than one copy. Depending on the strain, there can be up to eight copies of this gene. By way of example, a gene, when placed under CUP1 regulation, should e provided with a degree of control of the level of expression based on the amount of copper (or silver) in the medium. Copper is toxic and any cells should be tested to see how well it tolerates copper before making a CUP1 construct.

PHO5 promoter: This promoter is derived from a gene that encodes an acid phosphatase. It is induced by low or no phosphate in the medium. The phosphatase is secreted in the chance it will be able to free up some phosphate from the surroundings. When phosphate is present, no PHO5 message can be found. When phosphate is absent, the promoter is strongly turned on.

Steroid inducible expression: Keith Yamamoto's lab has developed an inducible system in yeast similar to the ecdysone system for mammalian cells. The rat glucocorticoid receptor gene has been inserted behind the constitutive GPD promoter to express the rat glucocorticoid receptor in yeast. A second vector was made with three glucocorticoid response elements upstream of the CYC1 gene minimal promoter (cytochrome c gene). A cloning site was placed after this so a selected gene or other engineered construct could be placed under control of the 3GRE/CYC1 promoter. Both vectors are high copy vectors. This system works well with dose dependent expression, when steroid hormone is added to the medium. Response time is rapid with t_(1/2) of 7-9 minutes after addition of hormone.

Heat shock expression: By placing the UAS from a heat shock gene in front of the minimal CYC1 promoter, any gene or synthetic construct can be placed under heat shock induction. This is a specialized requirement usually used in studies of heat shock response, or in regulation of RNAi under different temperature regimens.

GAL1-10 promoter: This promoter is highly regulatable by galactose, such that there is a basal level on glucose, but over 100 fold increase when cells are placed in galactose medium.

The yeast GAL genes form one of the most intensely studied model systems for eukaryotic gene regulation. The structural genes, e.g. GAL1 and GAL10, are induced to very high level expression in galactose by the action of the activator Gal4p. Gal4p binds to activation sequences (UASG) that lie up stream of GAL genes and activates transcription in a process that depends on gene-proximal TATA elements and involves numerous coactivators and general transcription factors including TBP. The activation function of Gal4p is modulated by Gal80p, an inhibitory regulator that binds specifically to the activation domain of Gal4p, thus preventing gene activation in nongalactose carbon sources.

In certain embodiments, the provided constructs or methods are used or carried out in animal cells, particularly cells from the nematode C. elegans. In such embodiments, promoters or other regulatory sequences that function in animal cells are useful. Myriad animal promoters are well known to those of ordinary skill in the art, including constitutive promoters and inducible or repressible promoters, as well as promoters that show cell or tissue specificity or other regulated expression. Where a siRNA triggering cassette is expressed in C. elegans or a cell from a C. elegans organism, optionally a C. elegans promoter can be used. See, for instance published U.S. Applications No. 10/239,249 (2003-0177507) and Ser. No. 09/422,569 (2003-0023997), which describe the use of various promoters for construct expression in the invertebrate animal C. elegans. Specific examples of C. elegans promoters include the following: unc-54, hsp16-2, unc-119, G_(0A1) and sel-12. It is also appropriate to use heterologous promoters in animal cells, including cells from (or in) C. elegans organisms.

Additional promoters and/or regulatory sequences are discussed elsewhere in this document.

Plant expression vectors optionally include RNA processing signals, e.g., introns, which may be positioned upstream or downstream of a polypeptide-encoding sequence in the transgene. In addition, the expression vectors may also include additional regulatory sequences from the 3′-untranslated region of plant genes, e.g., a 3′ terminator region to increase miRNA stability of the miRNA, such as the PI-II terminator region of potato or the octopine or nopaline synthase 3′ terminator regions.

Such vectors also generally include one or more dominant selectable marker genes, including genes encoding antibiotic resistance (e.g., resistance to hygromycin, kanamycin, bleomycin, G418, streptomycin, paromomycin, or spectinomycin) and herbicide-resistance genes (e.g., resistance to phosphinothricin acetyltransferase or glyphosate) to facilitate manipulation in bacterial systems and to select for transformed plant cells.

Screenable markers are also used for cell transformation, such as fungus or plant cell transformation, including color markers such as genes encoding β-glucuronidase (gus) or anthocyanin production, or fluorescent markers such as genes encoding luciferase or green fluorescence protein (GFP).

IX. In Vitro Production of Oligonucleotides

Though it is often appropriate to produce RNAi triggering constructs through genetic engineering techniques such as those discussed above, in some instances components of such constructs can be advantageously produced using in vitro chemical synthesis.

In vitro methods for the synthesis of oligonucleotides are well known to those of ordinary skill in the art; such conventional methods can be used to produce IROs for the disclosed methods. The most common method for in vitro oligonucleotide synthesis is the phosphoramidite method, formulated by Letsinger and further developed by Caruthers (Caruthers et al., Chemical synthesis of deoxyoligonucleotides, in Methods Enzymol. 154:287-313, 1987). This is a non-aqueous, solid phase reaction carried out in a stepwise manner, wherein a single nucleotide (or modified nucleotide) is added to a growing oligonucleotide. The individual nucleotides are added in the form of reactive 3′-phosphoramidite derivatives. See also, Gait (Ed.), Oligonucleotide Synthesis. A practical approach, IRL Press, 1984.

In general, the synthesis reactions proceed as follows: First, a dimethoxytrityl or equivalent protecting group at the 5′ end of the growing oligonucleotide chain is removed by acid treatment. (The growing chain is anchored by its 3′ end to a solid support such as a silicon bead.) The newly liberated 5′ end of the oligonucleotide chain is coupled to the 3′-phosphoramidite derivative of the next deoxynucleoside to be added to the chain, using the coupling agent tetrazole. The coupling reaction usually proceeds at an efficiency of approximately 99%; any remaining unreacted 5′ ends are capped by acetylation so as to block extension in subsequent couplings. Finally, the phosphite triester group produced by the coupling step is oxidized to the phosphotriester, yielding a chain that has been lengthened by one nucleotide residue. This process is repeated, adding one residue per cycle. See, for instances, U.S. Pat. Nos. 4,415,732, 4,458,066,4,500,707, 4,973,679, and 5,132,418. Oligonucleotide synthesizers that employ this or similar methods are available commercially (e.g., the PolyPlex oligonucleotide synthesizer from Gene Machines, San Carlos, Calif.). In addition, many companies will perform such synthesis (e.g., Sigma-Genosys, TX; Operon Technologies, CA; Integrated DNA Technologies, IA; and TriLink BioTechnologies, CA).

Oligonucleotides are conveniently available commercially up to approximately 125 nucleotides; beyond this length the efficiency and purification drops. Modified nucleotides can be incorporated into an oligonucleotide essentially as described above for non-modified nucleotides.

Methods described above, or other methods known to those of ordinary skill in the art, can be used to produce oligonucleotides comprising an initiation sequence, a gene suppressing element, or combinations thereof, for instance. Such oligonucleotides can be used to construct RNA-trigger nucleic acid cassettes, for instance.

X. Plants for Production of siRNAs

The presence of the cellular systems described herein necessary to respond to initiator sequences, and thereby produce siRNAs from the described constructs, appears to be nearly universal within the plant and fungal kingdoms. These systems are also present in some invertebrates, such as C. elegans. At the molecular level for instance, DCL and RDR homologs have been found in a variety of plant and fungi species, as well as C. elegans. Thus, expression of target genes using the synthetic siRNA-bearing constructs (RNAi-triggering nucleic acid molecules) described herein may be modified, particularly inhibited, in a wide range of target organisms and cells of such organisms. These include plants, including both monocotyledonous and dicotyledonous plants. The described system for inducing RNAi finds equal application in fungal systems, including filamentous (mold-type) and some yeast-type fungi, as well as C elegans, a representative invertebrate animal.

Representative, non-limiting example plants include Arabidopsis; field crops (e.g. alfalfa, barley, bean, clover, corn, cotton, flax, lentils, maize, pea, rape/canola, rice, rye, safflower, sorghum, soybean, sunflower, tobacco, and wheat); vegetable crops (e.g. asparagus, beet, brassica generally, broccoli, Brussels sprouts, cabbage, carrot, cauliflower, celery, cucumber (cucurbits), eggplant, lettuce, mustard, onion, pepper, potato, pumpkin, radish, spinach, squash, taro, tomato, and zucchini); fruit and nut crops (e.g. almond, apple, apricot, banana, blackberry, blueberry, cacao, cassaya, cherry, citrus, coconut, cranberry, date, hazelnut, grape, grapefruit, guava, kiwi, lemon, lime, mango, melon, nectarine, orange, papaya, passion fruit, peach, peanut, pear, pineapple, pistachio, plum, raspberry, strawberry, tangerine, walnut, and watermelon); tree woods and ornamentals (e.g. alder, ash, aspen, azalea, birch, boxwood, camellia, carnation, chrysanthemum, elm, fir, ivy, jasmine, juniper, oak, palm, poplar, pine, redwood, rhododendron, rose and rubber).

XI. Delivery of Constructs to Target Cells

Once a nucleic acid molecule (e.g., synthetic construct) encoding at least one siRNA for use in RNAi is generated, standard techniques may be used to express the encoded siRNA molecule(s) in transgenic plants, yeast, or animals. The basic approach is to clone, for instance, the synthetic siRNA construct into a transformation vector, such that it is operably linked to control sequences (e.g., a promoter) that direct expression of the nucleic acid in target cells. The transformation vector is then introduced into the target cells by one of a number of techniques (e.g., electroporation) and progeny containing the introduced nucleic acid construct are selected. In some embodiments, all or part of the transformation vector will stably integrate into the genome of the target cell. That part of the transformation vector that integrates into the target cell and that contains the introduced synthetic siRNA construct and associated sequences for controlling expression (the introduced “transgene”) may be referred to as the recombinant expression cassette.

Selection of progeny, for instance, progeny plants, yeast, or invertebrate cells, containing the introduced transgene may be based upon the detection of an altered phenotype. Such a phenotype may result directly from the synthetic construct cloned into the transformation vector or may be manifested as enhanced (or reduced) resistance to a chemical agent (such as an antibiotic) as a result of the inclusion of a selectable marker gene incorporated into the transformation vector.

Examples of the modification of plant characteristics by transformation with cloned cDNA sequences are replete in the technical and scientific literature. Selected examples, which serve to illustrate the knowledge in this field of technology, include: U.S. Pat. No. 5,451,514; U.S. Pat. No. 5,750,385; U.S. Pat. No. 5,583,021; U.S. Pat. No. 5,589,615; U.S. Pat. No. 5,268,526; U.S. Pat. No. 5,741,684; U.S. Pat. No. 5,773,692; WO 96/13582; published U.S. application Ser. No. 10/450,412 (2004-0139494), No. 09/850,846 (2002-0147168). These examples include descriptions of transformation vector selection, transformation techniques and the assembly of constructs designed to express or over-express the introduced nucleic acid.

In light of the foregoing and the provision herein of methods for producing siRNA-producing synthetic constructs governed by described initiator sequences, one of ordinary skill in the art will be able to introduce such nucleic acid constructs into plants, fungi, and animals (particularly invertebrates) in order to produce specimens exhibiting RNAi of one or more target genes.

XII. Plant Transformation, Regeneration, and Selection

Transformation and regeneration of both monocotyledonous and dicotyledonous plant cells is routine, and the most appropriate transformation technique will be determined by the practitioner. The choice of method will vary with the type of plant to be transformed; those skilled in the art will recognize the suitability of particular methods for given plant types. Suitable methods may include, but are not limited to: electroporation of plant protoplasts; liposome-mediated transformation; polyethylene glycol (PEG) mediated transformation; transformation using viruses; micro-injection of plant cells; micro-projectile bombardment of plant cells; vacuum infiltration; and Agrobacterium tumefaciens (AT) mediated transformation. Typical procedures for transforming and regenerating plants are described in the patent documents listed at the beginning of this section.

Following transformation and regeneration of plants with the transformation vector, transformed plants may be selected using a dominant selectable marker incorporated into the transformation vector. Typically, such a marker will confer antibiotic resistance on the seedlings of transformed plants, and selection of transformants can be accomplished by exposing the seedlings to appropriate concentrations of the antibiotic.

After transformed plants are selected and grown to maturity, they can be assayed using the methods described herein, and other methods appropriate to the synthetic construct of the transgene, to determine whether the passenger siRNA(s) are being produced, and/or whether the target gene(s) are measurably inhibited by RNAi as a result of the introduced transgene.

Numerous methods for transforming plant cells with recombinant DNA are known in the art and may be used. Two commonly used methods for plant transformation are Agrobacterium-mediated transformation and microprojectile bombardment. Microprojectile bombardment methods are illustrated in U.S. Pat. No. 5,015,580 (soybean); U.S. Pat. No. 5,550,318 (corn); U.S. Pat. No. 5,538,880 (corn); U.S. Pat. No. 5,914,451 (soybean); U.S. Pat. No. 6,160,208 (corn); U.S. Pat. No. 6,399,861 (corn) and U.S. Pat. No. 6,153,812 (wheat) and Agrobacterium-mediated transformation is described in U.S. Pat. No. 5,159,135 (cotton); U.S. Pat. No. 5,824,877 (soybean); U.S. Pat. No. 5,591,616 (corn); and U.S. Pat. No. 6,384,301 (soybean), all of which are incorporated herein by reference. For Agrobacterium tumefaciens based plant transformation system, additional elements present on transformation constructs will include T-DNA left and right border sequences to facilitate incorporation of the recombinant polynucleotide into the plant genome.

In general it is useful to introduce recombinant DNA randomly, i.e. at a non-specific location, in the genome of a target plant line. In special cases it may be useful to target recombinant DNA insertion in order to achieve site-specific integration, e.g. to replace an existing gene in the genome, to use an existing promoter in the plant genome, or to insert a recombinant polynucleotide at a predetermined site known to be active for gene expression. Several site specific recombination systems exist which are known to function implants include cre-10× as disclosed in U.S. Pat. No. 4,959,317 and FLP-FRT as disclosed in U.S. Pat. No. 5,527,695, both incorporated herein by reference.

Transformation methods are preferably practiced in tissue culture on media and in a controlled environment. “Media” refers to the numerous nutrient mixtures that are used to grow cells in vitro, that is, outside of the intact living organism. Recipient cell targets include, but are not limited to, meristem cells, callus, immature embryos and gametic cells such as microspores, pollen, sperm and egg cells. It is contemplated that any cell from which a fertile plant may be regenerated is useful as a recipient cell. Callus may be initiated from tissue sources including, but not limited to, immature embryos, seedling apical meristems, microspores and the like. Cells capable of proliferating as callus are also recipient cells for genetic transformation. Practical transformation methods and materials for making transgenic plants, e.g. various media and recipient target cells, transformation of immature embryos and subsequent regeneration of fertile transgenic plants are disclosed in U.S. Pat. Nos. 6,194,636 and 6,232,526, which are incorporated herein by reference.

The seeds of transgenic plants can be harvested from fertile transgenic plants and be used to grow progeny generations of transformed plants including hybrid plants line for screening of plants having an enhanced agronomic trait. In addition to direct transformation of a plant with a recombinant DNA, transgenic plants can be prepared by crossing a first plant having a recombinant DNA with a second plant lacking the DNA. For example, recombinant DNA can be introduced into first plant line that is amenable to transformation to produce a transgenic plant which can be crossed with a second plant line to introgress the recombinant DNA into the second plant line. A transgenic plant with recombinant DNA providing an enhanced agronomic trait, e.g. enhanced yield, can be crossed with transgenic plant line having other recombinant DNA that confers another trait, e.g. herbicide resistance or pest resistance, to produce progeny plants having recombinant DNA that confers both traits. Typically, in such breeding for combining traits the transgenic plant donating the additional trait is a male line and the transgenic plant carrying the base traits is the female line. The progeny of this cross will segregate such that some of the plants will carry the DNA for both parental traits and some will carry DNA for one parental trait; such plants can be identified by markers associated with parental recombinant DNA Progeny plants carrying DNA for both parental traits can be crossed back into the female parent line multiple times, e.g. usually 6 to 8 generations, to produce a progeny plant with substantially the same genotype as one original transgenic parental line but for the recombinant DNA of the other transgenic parental line

In the practice of transformation DNA is typically introduced into only a small percentage of target cells in any one transformation experiment. Marker genes are used to provide an efficient system for identification of those cells that are stably transformed by receiving and integrating a transgenic DNA construct into their genomes. Preferred marker genes provide selective markers which confer resistance to a selective agent, such as an antibiotic or herbicide. Any of the herbicides to which plants may be resistant are useful agents for selective markers. Potentially transformed cells are exposed to the selective agent. In the population of surviving cells will be those cells where, generally, the resistance-conferring gene is integrated and expressed at sufficient levels to permit cell survival. Cells may be tested further to confirm stable integration of the exogenous DNA. Conmmonly used selective marker genes include those conferring resistance to antibiotics such as kanamycin and paromomycin (nptII), hygromycin B (aph III) and gentamycin (aac3 and aacC4) or resistance to herbicides such as glufosinate (bar or pat) and glyphosate (aroA or EPSPS). Examples of such selectable are illustrated in U.S. Pat. Nos. 5,550,318; 5,633,435; 5,780,708 and 6,118,047, all of which are incorporated herein by reference. Screenable markers which provide an ability to visually identify transformants can also be employed, e.g., a gene expressing a colored or fluorescent protein such as a luciferase or green fluorescent protein (GFP) or a gene expressing a beta-glucuronidase or uidA gene (GUS) for which various chromogenic substrates are known.

Cells that survive exposure to the selective agent, or cells that have been scored positive in a screening assay, may be cultured in regeneration media and allowed to mature into plants. Developing plantlets can be transferred to plant growth mix, and hardened off, e.g., in an environmentally controlled chamber at about 85% relative humidity, 600 ppm CO₂, and 25-250 microeinsteins m⁻² s⁻¹ of light, prior to transfer to a greenhouse or growth chamber for maturation. Plants are regenerated from about 6 weeks to 10 months after a transformant is identified, depending on the initial tissue. Plants may be pollinated using conventional plant breeding methods known to those of skill in the art and seed produced, e.g. self-pollination is commonly used with transgenic corn. The regenerated transformed plant or its progeny seed or plants can be tested for expression of the recombinant DNA and screened for the presence of enhanced agronomic trait.

XIII. Transgenic Plants and Seeds

Transgenic plant seed provided herein are grown to generate transgenic plants having an enhanced trait as compared to a control plant. Such seed for plants with enhanced agronomic trait(s) is identified by screening transformed plants, progeny, or progeny seed for the enhanced trait(s). For efficiency, a screening program is beneficially used to evaluate multiple transgenic plants (events) comprising the recombinant DNA, e.g. multiple plants from 2 to 20 or more transgenic events.

Transgenic plants grown from transgenic seed provided herein demonstrate improved agronomic traits that contribute to increased yield or other trait that provides increased plant value, including, for example, improved seed quality. Of particular interest are plants having enhanced yield resulting from improved plant growth and development, stress tolerance, improved seed development, higher light response, improved flower development, or improved carbon and/or nitrogen metabolism

Many transgenic events which survive to fertile transgenic plants that produce seeds and progeny plants will not exhibit an enhanced agronomic trait. Screening is necessary to identify the transgenic plant having enhanced agronomic traits from populations of plants transformed as described herein by evaluating the trait in a variety of assays to detect an enhanced agronomic trait. These assays also may take many forms, including but not limited to, analyses to detect changes in the chemical composition, biomass, physiological properties, morphology of the plant.

XIV. Targets for RNAi

The target gene can be in any cell derived from or contained in any organism. The organism can be a plant, an animal, or fungus, as described herein. The target gene may be a cellular gene (i.e., derived from a cell, as opposed to a virus or other exogenous source), an endogenous gene (i.e., a cellular gene found in the genome), a transgene (i.e., a gene construct inserted at an ectopic site in the genome of the cell), or a gene from a pathogen or invasive entity which is capable of infecting or infesting an organism from which the cell is derived. Specific, non-limiting examples of target genes include genes encoding: structural or regulatory molecules; enzymes; toxins; transcription factors; chromatin factors; metabolic factors: secreted factors; miRNA expressed by pathogens; reproductive factors; pigments; pathogen response factors; environmental stress factors; allergens; and so forth. Also contemplated are target genes that are involved in reproduction, particularly male fertility in plants; genes that enhance vegetative growth. Targets also can be selected from non-coding regions of the genome of the target organism.

In addition to endogenous gene and non-gene targets, it is contemplated that the RNAi-triggering constructs and methods described herein can be used to inhibit expression of pathogen or parasite genes, for instance gene sequences expressed bacterial, viral, other pathogen, animal pest, or plant pest (e.g., nematode) targets. By way of example, such gene inhibition in the context of an organism infected or infested with such pathogenic target could be used to combat the pathogen. Treatment of pathogens using such a system could be preventative, wherein the RNAi-triggering construct(s) are introduced before there is known infection or introduction of the pathogenic organism. In such embodiments, the presence of the RNAi-triggering system is intended to prevent, reduce, or ameliorate a subsequent infection or contamination with the target pathogen or other microorganism. Alternatively, infected or infested organisms could be treated after the microorganism(s) are present. In such embodiments, the RNAi-triggering system is intended to treat or eradicate the infection/infestation.

In yet other embodiments, an RNAi-triggering system is introduced to provide inhibitory control over a transgenic target gene sequence, or set of transgenic sequences, for instance that have been introduced into a transgenic plant, fungus, or other cell. Such targets might include transgenes that confer desirable or undesirable traits to the target organism. Representative non-limiting examples of categories of transgenes are discussed herein; any transgene could serve as a target, and specific targets will be best selected by the practitioner.

Inhibition of target gene expression or activity can be measured by monitoring the levels of target gene miRNA or proteins encoded by the target gene. Examples of known techniques used to measure miRNA levels include RNA solution hybridization, nuclease protection, Northern blot analysis, and reverse transcription which can be used in combination with polymerase chain reaction. Examples of techniques used to measure target gene protein levels include antibody binding, enzyme linked immunosorbent assay (ELISA), Western blot analysis, immunoassays (e.g. radioimmunoassay), and fluorescence activated cell sort (FACS).

Depending on the particular target gene and the level of production of the siRNA, increasing the production of siRNA(s), for example through expression from a transgene described herein, may provide partial or complete loss of expression, or function, of the target gene. The inhibition in target gene expression in different embodiments is at least a 5%, at least a 10%, at least a 20%, at least a 30%, at least a 50%, at least a 75%, at least an 80%, at least an 85%, at least a 90%, at least a 95%, or a 100% inhibition in target gene expression.

XV. Regulated RNAi

The RNAi-triggering systems described herein can further be employed to exploit differentially regulated systems within a target, for instance in order to provide cell-specific, tissue-specific, or developmentally specific RNAi of one or more specific genes. In particular, miRNAs frequently accumulate in specific cell-types or tissues (e.g. Palatnik et al., Nature 425:257-263, 2003) or are induced under specific conditions, such as nutrient or abiotic stress (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004). Thus, cell-, tissue-, or conditional RNAi may be regulated by cell-, tissue- or condition-specific miRNA or siRNA expression by employing a target sequence (initiator sequence) that interacts with a specific regulated small RNA to guide cleavage of the target sequence in the desired expression pattern. Representative miRNAs and functions associated with their target(s) are listed in Table 4.

Alternatively, or in combination, regulated RNAi can also be achieved using expression cassettes that are only transcribed, or preferentially transcribed, in certain cells, tissues, conditions, and so forth. Represented promoters useful for such regulated expression are discussed herein.

The following examples are provided to illustrate certain particular features and/or embodiments. These examples should not be construed to limit the invention to the particular features or embodiments described.

EXAMPLE 1 MiRNA-Directed Phasing During Trans-Acting siRNA Biogenesis in Plants

Small RNA Blot Analysis

Low molecular weight RNA (5 μg) from Arabidopsis inflorescence tissue was used for miRNA and endogenous siRNA analysis as described (Allen et al., Nat Genet 36:1282-1290, 2004). Mutant lines for dcl1-7, dcl2-1, dcl3-1, rdr1-1 rdr2-1, hen1-1, hyl1-2, rdr6-11, rdr6-15, and sgs3-11 were described previously (Allen et al., Nat Genet 36:1282-1290, 2004; Park et al., Curr Biol 12:1484-1495, 2002; Peragine et al., Genes & Dev 18:2369-2379, 2004; Vazquez et al., Curr Biol 14:346-351, 2004a; Xie et al., PLoS Biol 2:642-652, 2004). The hst-15 allele used was the SALK_(—)079290 T-DNA insertion line from ABRC, which contains a T-DNA at position 1584 from the start codon. Probes for miR159, miR167, and AtSN1-siRNA blots were described previously (Llave et al., Plant Cell 14:1605-1619, 2000a; Zilberman et al., Science 299:716-719, 2003). All other miRNAs were detected using end-labeled DNA oligonucleotides. Probes for ta-siRNA loci were PCR amplified from Col-0 genomic DNA, cloned into pGEMT-Easy, and verified by sequencing. Radiolabeled probes incorporating ³²P-UTP were made by T7 RNA polymerase transcription, to obtain strand specific small RNA probes. Probes were as follows: TAS3 locus, Chr3:5862146-5862295; At3g39680 (TAS2) locus, Chr2:16546831-16547300.

Computational Prediction of miRNA Targets

An initial pool of predicted target sites for validated miRNAs was created by FASTA searches using a +15/−10 scoring matrix of the TAIR AGI transcript database, limited to 4 mispairs, 4 G:U pairs, to a total of seven, with 100,000 results obtained for the reverse complement of each small RNA. A single, one nucleotide gap was allowed. The miRNA target prediction algorithm used to score these sites was developed based on 94 experimentally validated and predicted family members of miRNA-target site duplexes, including 55 targets validated in previous studies, 11 new validated targets, plus 28 family members with conserved miRNA target sites (Target Rule Set, Table 3). Three filters based on the Target Rule Set were applied sequentially. In each case, base one is considered to be the first nucleotide from the 5′ end of the miRNA. First, targets with a mismatch score greater than four were excluded. The Minimum Free Energy (ΔG_(MFE)) of a perfect miRNA-target duplex was determined by computationally attaching a perfectly complementary target sequence to a small RNA using a four base “gap” linker sequence (----). The free energy each miRNA-predicted target site (ΔG_(target)) was determined by computationally linking the target sequence to the small RNA, from which the MFE ratio was calculated (ΔG_(target)/Δ_(MFE)). All thermodynamic values were calculated using RNAFold in the Vienna RNA package. Remaining targets with an MFE ratio less than 0.73 were excluded. Conservation of the target sequence was determined by using the region containing the target sequence in a BLAST search against the Arabidopsis transcript and EST databases, NCBI EST database, and O. sativa Unigene database, and removing any targets with no matches with less than three base changes in the target sequence. Duplicate target sites (identical genes) for related miRNA family members were combined in the final target gene set. TABLE 3 Summary of miRNA target gene predictions represented in FIG. 1 Rule Original Systematic Common miRNA Development prediction name^(a) name^(a) Gene family family Set Score^(b) MFE Ratio Pass/Fail reference Bin 1. Previously predicted miRNA target genes, experimentally validated 1 At1g27370 SPL10 SPL miR156 yes 3 0.808 Pass c 2 At5g43270 SPL2 SPL miR156 yes 3 0.842 Pass c 3 At1g53160 SPL4 SPL miR157 yes 3 0.820 Pass c 4 At5g06100 MYB33 MYB miR159 yes 3 0.787 Pass c; d 5 At3g11440 MYB65 MYB miR159 yes 3 0.787 Pass c; d 6 At1g77850 ARF17 ARF miR160 yes 0.5 0.990 Pass c 7 At2g28350 ARF10 ARF miR160 yes 2 0.844 Pass c 8 At4g30080 ARF16 ARF miR160 yes 2.5 0.863 Pass c 9 At1g06580 PPR miR161.1 yes 3 0.713 Fail c 10 At1g63150 PPR miR161.2 yes 1.5 0.856 Pass c 11 At5g41170 PPR miR161.1 yes 1 0.792 Pass c 12 At1g1040 DCL1 DCL miR162 yes 2 1.000 Pass e 13 At1g66690 SAMT miR163 yes 1 0.898 Pass d 14 At1g66700 SAMT miR163 yes 1 0.898 Pass d 15 At1g66720 SAMT miR163 yes 2 0.886 Pass f 16 At3g44860 SAMT miR163 yes 3 0.765 Pass f 17 At1g56010 NAC1 NAC miR164 yes 2 0.823 Pass c 18 At3g15170 CUC1 NAC miR164 yes 3 0.856 Pass c 19 At5g07680 NAC miR164 yes 2 0.849 Pass c 20 At5g53950 CUC2 NAC miR164 yes 3 0.856 Pass c 21 At5g61430 NAC miR164 yes 2 0.849 Pass c 22 At1g30490 PHV HD-ZipIII miR166 yes 3 0.860 Pass c 23 At1g52150 AtHB15 HD-ZipIII miR166 yes 2.5 0.867 Pass c 24 At2g34710 PHB HD-ZipIII miR166 yes 3 0.860 Pass c 25 At5g60690 REV/IFL1 HD-ZipIII miR166 yes 3 0.860 Pass c 26 At1g30330 ARF6 ARF miR167 yes 3.5 0.844 Pass c; d 27 At5g37020 ARF8 ARF miR167 yes 4 0.779 Pass c; d 28 At1g48410 AGO1 AGO miR168 yes 4 0.735 Pass c 29 At1g17590 HAP2 miR169 yes 2.5 0.866 Pass c 30 At1g54160 HAP2 miR169 yes 3 0.840 Pass c 31 At1g72830 HAP2c HAP2 miR169 yes 2.5 0.834 Pass b 32 At3g05690 HAP2b HAP2 miR169 yes 3 0.746 Pass b 33 At3g20910 HAP2 miR169 yes 4 0.735 Pass b 34 At5g06510 HAP2 miR169 yes 3 0.746 Pass b 35 At2g45160 SCL6(II) SCL miR171 yes 0 1.000 Pass g; c 36 At3g60630 SCL6(III) SCL miR171 yes 0 1.000 Pass g; c 37 At4g00150 SCL6(IV) SCL miR171 yes 0 1.000 Pass g; c 38 At2g28550 TOE1/RAP2.7 AP2 miR172 yes 3.5 0.857 Pass d 39 At4g36920 AP2 AP2 miR172 yes 2.5 0.896 Pass d 40 At5g60120 TOE2 AP2 miR172 yes 1.5 0.928 Pass d 41 At5g67180 TOE3 AP2 miR172 yes 3.5 0.896 Pass d 42 At1g30210 TCP24 TCP miR319 yes 3.5 0.792 Pass i 43 At1g53230 TCP3 TCP miR319 yes 4 0.751 Pass i 44 At2g31070 TCP10 TCP miR319 yes 3.5 0.777 Pass i 45 At3g15030 TCP4 TCP miR319 yes 3.5 0.777 Pass i 46 At4g18390 TCP2 TCP miR319 yes 3.5 0.792 Pass i 47 At1g12820 TIR/F-box miR393 yes 2 0.862 Pass b 48 At3g23690 bHLH077 bHLH miR393 yes 3 0.871 Pass b 49 At3g26810 TIR/F-box miR393 yes 2 0.862 Pass b 50 At3g62980 TIR1 TIR/F-box miR393 yes 2.5 0.876 Pass b 51 At4g03190 TIR/F-box miR393 yes 3.5 0.761 Pass b 52 At1g27340 F-box miR394 yes 1 0.820 Pass b 53 At5g43780 APS4 ATP sulfurylase miR395 yes 2 0.792 Pass b 54 At3g22890 APS1 ATP sulfurylase miR395 yes 3.5 0.744 Pass b 55 At2g22840 GRF1 GRF miR396 yes 3.5 0.861 Pass b 56 At2g36400 GRF3 GRF miR396 yes 3 0.861 Pass b 57 At2g45480 GRF9 GRF miR396 yes 4 0.861 Pass b 58 At4g24150 GRF8 GRF miR396 yes 3.5 0.861 Pass b 59 At4g37740 GRF2 GRF miR396 yes 3.5 0.861 Pass b 60 At5g53660 GRF7 GRF miR396 yes 3.5 0.861 Pass b 61 At2g29130 Laccase miR397 yes 3.5 0.755 Pass b 62 At2g38080 Laccase miR397 yes 2.5 0.877 Pass b 63 At5g60020 Laccase miR397 yes 2.5 0.828 Pass b 64 At3g15640 Cytochrome C oxidase miR398 yes 3 0.804 Pass b 65 At1g08830 CSD1 Copper superoxide miR398 yes 5 0.712 Fail b dismutase 66 At2g28190 CSD2 Copper superoxide miR398 yes 6.5 0.761 Fail b dismutase Bin 2. Previously predicted miRNA target gene, computational prediction only^(c) 1 At1g27360 SPL11 SPL miR156 yes 3 0.808 Pass c 2 At1g69170 SPL6 SPL miR156 yes 3 0.808 Pass c 3 At2g33810 SPL3 SPL miR156 yes 3 0.808 Pass c 4 At2g42200 SPL9 SPL miR156 yes 2 0.832 Pass c 5 At3g57920 SPL15 SPL miR156 yes 2 0.832 Pass c 6 At5g50570 SPL13 SPL miR156 yes 2 0.832 Pass c 7 At5g50670 SPL miR156 yes 2 0.832 Pass c 8 At3g15270 SPL5 SPL miR157 yes 4 0.778 Pass c 9 At2g26950 MYB104 MYB miR159 yes 4 0.880 Pass c; d 10 At2g32460 MYB101 MYB miR159 yes 3.5 0.802 Pass c 11 At3g60460 MYB125 MYB miR159 yes 3.5 0.786 Pass c 12 At5g55020 MYB120 MYB miR159 yes 3.5 0.732 Pass c; d 13 At2g26960 MYB81 MYB miR159 yes 4.5 0.719 Fail c 14 At4g26930 MYB97 MYB miR159 yes 4 0.729 Fail c 15 At1g62670 PPR miR161.1 yes 3 0.765 Pass c 16 At1g64580 PPR miR161.1 yes 3.5 0.787 Pass c 17 At1g62720 PPR miR161.1 yes 5 0.754 Fail c 18 At1g63080 PPR miR161.2 yes 4 0.732 Pass c 19 At1g63400 PPR miR161.2 yes 2 0.846 Pass c 20 At5g16640 PPR miR161.2 yes 2.5 0.715 Fail c 21 At3g44870 SAMT miR163 yes 3 0.765 Pass f 22 At5g39610 NAC miR164 yes 3.5 0.763 Pass b 23 At4g32880 AtHB8 HD-Zip miR166 yes 3 0.860 Pass c 24 At5g12840 HAP2a HAP2 miR169 yes 3 0.735 Pass b 25 At2g39250 SNZ AP2 miR172 yes 2.5 0.922 Pass h 26 At3g54990 SMZ AP2 miR172 yes 1.5 0.954 Pass h 27 At4g14680 APS3 ATP sulfurylase miR395 yes 3.5 0.744 Pass b 28 At3g52910 GRF4 GRF miR396 yes 3 0.861 Pass b At3g28460 unclassified miR173 7 0.760 Fail, not d conserved At2g40760 Rhodenase-like miR396 5.5 0.700 Fail, not b conserved At4g27180 ATK2 Kinesin-like protein B miR396 6.5 0.527 Fail, not b conserved At5g12250 Beta-6 tubulin miR397 10 0.698 Fail, not b conserved At3g54700 phosphate transporter miR399 3.5 0.743 Fail, not b conserved Bin 3. New predicted miRNA target genes from existing target families Systematic miRNA name^(a) Common name^(a) Gene family family Score^(b) MFE Ratio Pass/Fail 1 At1g62860 PPR miR161.1 4 0.749 Pass 2 At1g63330 PPR miR161.2 1 0.852 Pass 3 At1g62590 PPR miR161.2 1 0.852 Pass 4 At1g63630 PPR miR161.2 2.5 0.859 Pass 5 At1g62930 PPR miR161.2 3 0.882 Pass 6 At1g63130 PPR miR161.2 3 0.882 Pass 7 At1g62910 PPR miR161.2 3 0.882 Pass 8 At1g63230 PPR miR161.2 3 0.735 Pass 9 At3g14020 HAP2 miR169 2 0.859 Pass Bin 4. Novel miRNA target genes, experimentally validated Systematic miRNA name^(a) Common name^(a) Gene family family Score^(b) MFE Ratio Pass/Fail Associated ESTs 1 At5g60760 2PGK miR447 3.5 0.807 Pass 2 At5g10180 AST68 Sulfate transporter miR395 3 0.760 Pass 3 At2g27400 TAS1a miR173 2.5 0.768 Pass CD534192, CD534180 4 At1g50055 TAS1b miR173 4.5 Fail 5 At2g39675 TAS1c miR173 2.5 0.768 Pass 6 At2g39681 TAS2 miR173 2.5 0.768 Pass BE521498 7 At3g17185 TAS3 miR390 3.5 0.755 Pass AV534298, AI998599, BX838290, AA651246 8 At2g33770 E2-UBC miR399 3.5 0.763 Pass 8 At1g31280 AGO2 AGO miR403 1 0.948 Pass BP648434, AU230620 Bin 5. Predicted miRNA target genes tested experiementally but not validated Systematic miRNA Original name^(a) Common name^(a) Gene family family Score MFE Ratio Pass/Fail prediction reference 1 At1g64100 PPR miR158 4 0.733 Pass C 2 At3g03580 PPR miR158 3.5 0.770 Pass 3 At2g03210 FUT2 FUT miR158 4 0.731 Pass 4 At2g03220 FUT1 FUT miR158 4 0.737 Pass ^(a)Systematic and common names for genes were from TAIR (www.arabidopsis.org) and AGRIS (http://arabidopsis.med.ohio-state.edu/AtTFDB/index.jsp); ^(b)Score was derived from a modified version of the scoring system developed by Jones-Rhoades et al., 2004. References: b: Jones-Rhoades et al., 2004; c: Rhoades et al., 2002; d: Park et al., 2002; e: Xie et al., 2003; f: Allen et al., 2004; g: Llave et al., 2002; h: Schmid et al., 2003; i:

Targets for ARF3 and ARF4 were predicted by aligning nucleotide sequence from orthologs from 17 selected species using TCoffee. Similarity over a 21 nucleotide window (characteristic of a miRNA target site) was plotted using PLOTCON in the EMBOSS software suite. Regions beyond the two predicted target sites showing low nucleotide conservation were removed for clarity. Orthologs of the At3g17185 were identified using BLAST, with ESTs only in the predicted miRNA orientation chosen. All selected ESTs were analyzed for the presence of an ARF gene or other conserved ORF by BLASTX analysis against an Arabidopsis protein database, and any match eliminated. ESTs were aligned using TCoffee, and the poorly conserved region surrounding the putative miRNAs removed.

Microarray Analysis

Inflorescence tissue (stages 1-12) was collected in triplicate, with three bulked plants for each genotype per replicate. Controls for dcl1-1 and hen1-1 were La-er, controls for hyl1-2, hst-15, dcl2-1, dcl3-1, rdr1-1rdr2-1, and rdr6-15 were Col-0. RNA was extracted using Trizol, followed by purification using the Plant RNeasy Midi kit (Qiagen). Biotinylated cRNA was synthesized from 5 μg total RNA using the MessageAmp kit (Ambion). Twenty micrograms (20 μg) of concentration-adjusted cRNA were fragmented and hybridized to ATH1 GeneChip arrays according to the manufacturer's protocol (Affymetrix). Samples were normalized using RMA Express (Bolstad et al., Bioinformatics 19, 185-193, 2003), and imported into Genespring v7 (Silicon Genetics) for analysis. Hierarchical clustering was performed using the standard clustering algorithm.

5′ RACE Analysis of miRNA Directed Cleavage of Target Genes

Cleavage sites of miRNA target genes were mapped using the Invitrogen GeneRacer 5′ RACE procedure as described previously (Kasschau et al., Dev Cell 4:205-217, 2003; Llave et al., Science 297:2053-2056, 2002). Gene specific primers were designed approximately 500 nucleotides downstream of the predicted cleavage site. These primers were used in combination with an adapter specific primer to amplify cleavage products by PCR. Purified PCR products were cloned into pGEM-T Easy.

Phylogeny Reconstruction Methods

The phylogenetic tree for the ARF family was generated by aligning the conserved ARF domain using TCoffee, followed by Bayesian reconstruction of a consensus family tree (Allen et al., Nat Genet 36:1282-1290, 2004).

Results

Computational Prediction and Validation of New miRNA Targets

A rigorous set of computationally predicted and validated targets for most Arabidopsis miRNA families has emerged (Table 4 and Table 3) (Aukerman & Sakai, Plant Cell 15:2730-2741, 2003; Chen, Science 303:2022-2025, 2004; Emery et al., Curr Biol 13:1768-1774, 2003; Jones-Rhodes & Bartel, Mol Cell 14:787-799, 2004; Kasschau et al., Dev Cell 4:205-217, 2003; Llave et al., Science 297:2053-2056, 2002b; Mallory et al., Curr Biol 14:1035-1046, 2004; Palatnik et al., Nature 425:257-263, 2003; Park et al., Curr Biol 12:1484-1495, 2002; Rhoades et al., Cell 110:513-520, 2002; Tang et al., Genes & Dev 17:49-63 2003; Vaucheret et al., Genes Dev 18:1187-1197, 2004; Vazquez et al., Curr Biol 14:346-351, 2004a; Xie et al., Curr Biol 13:784-789, 2003). However, clear targets for several miRNAs (miR158, miR173, miR390/391, miR399, miR403 and miR447) are not yet known. TABLE 4 Arabidopsis microRNA and ta-siRNA Target Families Small RNA Number of family^(a) Target family targets Target Function microRNA 1 miR156^(b) SBP 11 transcription factor 2 miR158 3 miR159^(b) MYB 8 transcription factor miR319^(b) TCP^(g) 5 transcription factor 4 mir160^(b) ARF 3 transcription factor 5 miR161^(b) PPR 17 unknown 6 miR162^(b) DCL 1 miRNA metabolism 7 miR163^(b) SAMT 5 metabolism 8 miR164^(b) NAC 6 transcription factor 9 miR166^(b) HD-ZIPIII 5 transcription factor 10 miR167^(b) ARF 2 transcription factor 11 miR168^(b) AGO1 1 miRNA metabolism 12 miR169^(b) HAP2 8 transcription factor 13 miR171^(b) SCR 3 transcription factor 14 miR172^(b) AP2 6 transcription factor 15 miR173 TAS1, TAS2 4 ta-siRNA biogenesis 16 miR390 TAS3 1 ta-siRNA biogenesis 17 miR393^(b) TIR1/F-box 4 hormone signaling bHLH 1 transcription factor 18 miR394^(b) F-box 1 hormone signaling 19 miR395^(b) ATPS 4 metabolism AST metabolism 20 miR396^(b) GRF 7 transcription factor 21 miR397^(b) laccase/Cu 3 metabolism oxidase 22 miR398^(b) CSD 2 stress response CytC oxidase 1 metabolism 23 miR399 E2-UBC 1 ubiquitin conjugation 24 miR447 2PGK 1 metabolism 25 miR403 AGO2 1 miRNA metabolism 26 miR408 laccase 1 metabolism Trans-acting siRNA 1 TAS1 unclassified^(s,t) 5 unknown 2 TAS2 PPR^(c) 8 unknown 3 TAS3 ARF^(c) 4 transcription factor ^(a)miRNA families contain at least one member, with related miRNAs with up to five changes grouped into a family; ^(b)miRNAs with targets used in the Rule development set; ^(c)targets families validated in previous studies are in blue, italics indicated additional family members validated in this study, red indicates gene families validated only in this study.

To further extend and refine the analysis of miRNA targets in plants, we developed a set of computational “rules” for Arabidopsis miRNA-target interactions involving 22 miRNA families. These were used to produce a target prediction set that was experimentally tested (FIG. 1A). The rule development set included 66 experimentally validated targets and 28 previously predicted targets that are closely related to validated family members. Among the 66 validated targets were 55 previously published targets and 11 new validated targets.

Experimental validation of targets involved 5′RACE assays to detect a cleavage site opposite of position 10 from the 5′ end of the miRNA (Kasschau et al., Dev Cell 4:205-217, 2003; Llave et al., Science 297:2053-2056, 2002). Detection of a cleavage product with a 5′ terminus corresponding to the predicted miRNA-guided cleavage site is strong evidence in support of target site function. Validated targets included genes from multigene families in which closely related paralogs were shown previously to be miRNA targets (Bins 1 and 3, FIG. 2A), and nine novel targets discussed in detail below (Bin 4, FIGS. 3A and 3B).

Two parameters were analyzed for rule development. First, the occurrence of mispaired bases between miRNAs and targets was analyzed. All miRNA-target duplexes within the rule set contained four or fewer unpaired bases, four or fewer G:U pairs, up to one single-nucleotide bulge, and a total of seven or fewer unpaired plus G:U positions. The positions of mispairs were examined by plotting the percentage of mismatched and G:U pairs at each target nucleotide positions (counting from the 3′ end) (FIG. 1B). Nucleotide pairs at positions 2-13 formed a core segment with relatively few mismatches relative to positions 1 and 14-21. This core segment is longer than the core segment of animal miRNA-target duplexes (positions 2-8) (Lewis et al., Cell 115:787-798, 2003). A mispair scoring system, modified from that used by Jones-Rhoades and Bartel (Mol Cell 14:787-799, 2004), was applied to account for the reduced occurrence of mispairs within the core segment. Mismatched pairs or single nucleotide bulges were each scored as 1 and G:U pairs were scored as 0.5. Mismatches and G:U pair scores were doubled within the core segment. A score of <4 captured 91 of 94 targets in the rule development set for a false negative rate of 0.03.

Second, a relative thermodynamic parameter was investigated. The minimum free energy (MFE) of a hypothetical duplex containing each of the 94 targets paired with a perfectly complementary sequence (ΔG_(MFE)) was calculated and compared to the free energy calculated for the actual miRNA-target duplex (ΔG_(target)). The MFE ratio (ΔG_(target)/ΔG^(MFE)) was calculated for each duplex in the rule set. Eighty-nine of the duplexes in the rule set had an MFE ratio≧0.73 (FIG. 1C), corresponding to a false negative rate of 0.05. Combining the mispair (≦4) and MFE ratio (≧0.73) limits in a series of filters resulted in capture of 87 targets from the rule set (false negative rate=0.07). The mispair and MFE ratio limits were applied in searches using all validated miRNAs from the 25 families (Table 4) and the Arabidopsis transcript database, resulting in 145 prospective targets (FIG. 1D).

Target sequence conservation across species and between closely related paralogs was applied as a final filter. For all miRNAs that were conserved between monocots and dicots (or between dicot families), predicted target sites were required to be similarly conserved (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004). For non-conserved miRNAs, targets sites were required to be present within more than one paralog in Arabidopsis. When applied to the rule development set, the respective conservation filters resulted in loss of no genes. Application of the conservation filter to the 145 genes that passed the mispair and MFE ratio filters resulted in 103 genes (FIG. 1A).

To further extend the chances for target identification, an miRNA target search was also done using the Arabidopsis EST database. The same mispair and conservation filters were used, but the MFE ratio filter limit was lowered to 0.70 to account for known sequencing errors within the EST dataset. A redundancy filter was added to subtract all prospective target genes that also passed the target search using the transcript database. Six new prospective targets were identified in the EST search, resulting in a total of 109 predicted targets. These were assigned to several bins (FIG. 1A, Table 3). Bin 1 contained 63 of 66 previously validated targets that contributed to the rule set. Bin 2 contained 24 of the 28 predicted targets from the rule set. Thus, the overall false negative rate was 0.07. Bin 3 contained nine new predicted targets from existing target gene families. These previously nonpredicted targets included eight pentatricopeptide repeat (PPR) genes targeted by miR161.1 and miR161.2, a HAP2a gene (At1g14020) targeted by miR169, and a sulfate transporter (AST68, At5g10180) gene targeted by miR395. Bin 4 contained nine novel targets that were experimentally validated and analyzed in detail (see following sections). Bin 5 contained four genes that were predicted to interact with miR158, but each of these failed the 5′RACE validation assay. If it is assumed that Bin 5 genes represent all incorrect predictions from this search, then the false positive rate was 0.04.

Genes encoding an E2-ubiquitin conjugating enzyme (E2-UBC, At2g33770), Argonaute2 (AGO2, At1g31280), and a 2-phosphoglycerate kinase (2PGK, At5g60760) were validated as targets of miR399, miR403 and miR477, respectively, and represent the only conventional genes in Bin 4 (FIG. 3A). Possibly because of computational searches using a transcript database containing a misannotated E2-UBC, miR399 was predicted previously to target a different miRNA encoding a phosphate transporter (At3g54700) (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004). This gene was not predicted in our analysis, and the 5′RACE assay failed to reveal a miR399-guided cleavage product. The E2-UBC target, which was identified here and predicted by Sunkar and Zhu (Plant Cell 16:2001-2019, 2004) only using EST databases, contains up to five miR399-interacting sites in the 5′ untranslated region (UTR). Cleavage products were detected with 5′ termini corresponding to cleavage at four of these sites, most prominently sites 2 and 3 (FIG. 3A). Orthologous E2-UBC genes in rice and at least three other plant species each contain 3-5 conserved target sites. This is the only example of both a 5′UTR target position and multiple miRNA-target sites in plant genes. The miR403-target site was identified within the 3′UTR of the AGO2 transcript from Arabidopsis and several other dicot families, but not in orthologous AGO2 transcripts from monocots. This is the second miRNA-targeted AGO family member identified, as AGO1 was shown to be targeted by miR168. Whereas AGO1 is required for miRNA activity (Vaucheret et al., Genes Dev 18:1187-1197, 2004), presumably within RISC, a function for AGO2 is currently not known. The 2PGK gene (At5g60760) was validated as an miR447 target (FIG. 3A), and joins a growing list of plant miRNA targets that encode proteins with metabolic functions (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004).

The five remaining Bin 4 genes were validated as miR173 and miR390 targets (FIG. 3B), and were predicted only from EST database due to their unusual nature. These are discussed in detail below.

Expression Profiling of Predicted miRNA Targets

Most miRNAs of plants direct cleavage of their targets. Loss-of-function mutations in miRNA metabolic or biogenesis genes, therefore, frequently result in elevated target transcript levels (Kasschau et al., Dev Cell 4:205-217, 2003; Palatnik et al., Nature 425:257-263, 2003; Vazquez et al., Curr Biol 14:346-351, 2004a; Xie et al., Curr Biol 13:784-789, 2003). To systematically analyze the effects of miRNA and endogenous siRNA defects on validated and predicted miRNA target genes in Arabidopsis, expression profiling was done using nine mutant (condition) plants and two control plants. The mutants included miRNA-defective dcl1-7, hen1-1 and hyl1-2 (Park et al., Curr Biol 12:1484-1495, 2002; Schauer et al., Trends Plant Sci 7:487-491, 2002; Vazquez et al., Curr Biol 14:346-351, 2004a), which were shown to reduce or eliminate accumulation of miRNAs. A new insertion mutant, hst-15, with predicted defects in nucleocytoplasmic transport of miRNA and ta-siRNA precursors (Bollman et al., Development 130:1493-1504, 2003) was used. Using inflorescence tissue, hst-15 had only modest or no effects on miRNA accumulation. However, as shown using the hst-1 mutant (Bollman et al., Development 130:1493-1504, 2003; Peragine et al., Genes & Dev 18:2369-2379, 2004), hst-15 had several developmental abnormalities, including a more rapid juvenile to adult phase change, leaf curling and epinasty, altered silique phyllotaxy and small flowers (FIG. 4A). The hst-15 transcript accumulated to low levels specifically in the hst-15 mutant plant; this was in contrast to the dcl1-7 transcript, which was upregulated in each of the miRNA-defective mutants due to loss of miR162-mediated feedback regulation (Xie et al., Curr Biol 13:784-789, 2003).

The mutant series also included five siRNA-defective mutants. The dcl3-1 and rdr2-1 mutants lack chromatin RNAi-associated, 24-nucleotide siRNAs, dcl2-1 and rdr1-1 mutants have defects in antiviral siRNA biogenesis, and the rdr6-15 mutant is defective in ta-siRNA biogenesis (Peragine et al., Genes & Dev 18:2369-2379, 2004; Vazquez et al., Mol Cell 16:69-79, 2004b; Xie et al., PLoS Biol 2:642-652, 2004). The rdr6-15 mutant contains a new insertion allele, but displays most of the same properties of previously characterized rdr6 mutants (Allen et al., Nat Genet 36:1282-1290, 2004). Specifically, rdr6-15 plants displays rapid juvenile-to-adult phase change and accompanying morphological defects (FIG. 4A), and accumulates low levels of rdr6-15 transcript.

Expression profiling was done with triplicate biological samples on Affymetrix ATH1 arrays. Because DCL1, HEN1, HYL1, and likely HST, are required for miRNA biogenesis or function, we predicted that miRNA target genes would be upregulated coordinately in the corresponding mutants and largely unaffected in the siRNA biogenesis mutants. As a group, previously validated and predicted target genes (Bin 1+2 genes) generally behaved as anticipated, although clearly not all genes were upregulated in the miRNA mutants (FIG. 4B). Of the 81 genes present on the ATH1 array, 27 were significantly (P<0.01, ANOVA) upregulated in two or more of the miRNA mutants, although only 16 genes were significantly upregulated in all four miRNA mutants. Transcripts for MYB101 (miR159 target At2g32460) and a NAC domain gene (miR164 target At5g61430) were significantly (P<0.01, ANOVA) downregulated in the miRNA mutants, suggesting they may be negatively regulated by a factor that is under miRNA control. Targets from Bins 3+4, of which only 12 were represented on the array, were generally upregulated in the miRNA mutants but unaffected by the siRNA mutants, although the At2g39680 transcript (antisense to validated miR173 target) was significantly upregulated in rdr6-15 as well as in miRNA-defective mutant plants (FIG. 4C). In addition, a list of genes that were affected (P<0.01, ANOVA) in each of the dcl1-7, hen1-1 and rdr6-15 mutants was generated. This list contained five genes [At4g29770, At2g39680, At5g60450 (Auxin Response Factor4, ARF4), At2g33860 (ARF3) and At1g12770], all of which were up-regulated in the three mutants (FIG. 4D). These genes were predicted to be either miRNA targets that were also subject to a RDR6-dependent RNAi pathway, or ta-siRNA targets. Three of these genes were shown to yield transcripts that function as ta-siRNA targets (At4g29770, ARF3 and ARF4), one a predicted ta-siRNA target (At1g12770), and one a novel type of miRNA target (At2g39680).

To analyze the variation patterns among all predicted and validated miRNA targets, two analyses were done. First, a Principal Components Analysis (PCA) was done using expression data from Bins 1-4. An eigenvector that accounted for 65% of the variation among conditions revealed that the miRNA mutants were unified as having target-upregulation effects, and the siRNA mutants were unified as having no effects (FIG. 4E). No other eigenvector accounted for more than 9% of the variation. Among 30 genes highly correlated to the primary eigenvector (r>0.95), 6 were validated targets, plus one 2PGK gene (At3g45090) closely related to the validated miR477 target. The predicted miR477 target site in At3g45090 failed the MFE ratio (0.69), although the expression profile suggests that At3g45090 is a miRNA target. Second, an unsupervised hierarchical clustering analysis was done, and correlated conditions were displayed as an expression tree. The four miRNA-defective mutants grouped within one clade, with dcl1-7 and hen1-1 forming a subclade distinct from an hst-15/hyl1-2 subclade (FIG. 4F). The dcl1-1, dcl2-1, rdr1-1 and rdr2-1 mutants formed a distinct expression clade.

To compare more broadly the effects of miRNA and siRNA defects on the Arabidopsis transcriptome, condition pairs were analyzed using scatterplots. Also, a similar clustering analysis was done as for targets, using all genes. Expression values (fold-change relative to controls) for genes that are coordinately affected in two mutants should remain on the diagonal, whereas genes that are differentially in two mutants affected fall above or below the diagonal. Based on this approach, the effects of hyl1-2 were most similar to the effects of hst-15, and the effects of dcl1-7 were most similar to the effects of hen1-1 (FIG. 4G). In contrast, there was little similarity between transcriptome-wide effects of any of the miRNA mutants and siRNA mutants, as exemplified by the hyl1-2/dcl3-1 comparisons (FIG. 4G). Among all conditions, the miRNA-defective mutants grouped within one clade, and the siRNA mutants formed a distinct clade (FIG. 4F). With all genes considered, the rdr6-15 mutant did not group with either miRNA- or siRNA-defective mutants. Thus, with the major exceptions described below, the expression profiling data indicate that miRNA-mediated regulation of targets and downstream genes is largely independent of the siRNA pathways.

MiR173 Guides in-Phase Processing of Precursor Transcripts for Ta-siRNAs at Several Loci

Four miR173 targets were predicted based on the EST database but not the annotated transcript database. One of these predicted targets was antisense relative to the annotated gene At2g39680. Two other miR173 target sites were predicted based on ESTs AU235820 and CD534192 from paralogous loci; a third paralogous locus also contained the conserved miR173 site. miR173 target validation data for transcripts deriving from each of these four loci were obtained (FIG. 3B). None of the miR173 target transcripts contained extended, conserved protein-coding sequences.

Inspection and analysis of the four loci yielding miR173-targeted transcripts revealed that each was a confirmed or predicted ta-siRNA-generating locus (FIG. 5). The three paralogous loci, termed TAS1a, TAS1b and TAS1c yielded siR255 and several similar sequences (siR289, siR752, and siR850, also referred to as siR289, siR752 and siR850, respectively) in tandem, 21-nucleotide arrays. These ta-siRNAs were characterized previously and shown to require DCL1, RDR6, SGS3, and AGO1 (Peragine et al., Genes & Dev 18:2369-2379, 2004; Vazquez et al., Mol Cell 16:69-79, 2004). siR255 (formally TAS1a 3′D6(+), TAS1b 3′D6(+), TAS1c 3′D3(+)) was shown to target transcripts from the related genes At4g29760, At4g29770, and At5g18040 (functions unknown) for degradation in a manner similar to plant miRNAs. This was consistent with the expression profiling data, in which At4g29770 was one of five genes up-regulated in dcl1-7, hen1-1, and rdr6-15 plants (FIG. 4D). The fourth miR173 target locus, TAS2 (which was antisense to annotated At2g39680), possessed the hallmarks of a ta-siRNA-generating site, including the derivation of five cloned small RNAs representing both polarities in accurate, 21-nucleotide register (FIG. 5C) and up-regulation in dcl1-7, hen1-1 and rdr6-15 plants (FIG. 4D). The TAS2 (At3g39680) locus mapped approximately 2 kb away from, and in the same orientation as, TAS1c At2g39675, raising the possibility that both ta-siRNA sets arise from the same precursor transcript (FIG. 5C). Relative to miRNAs, siR255 and siR1511 small RNAs were relatively abundant as they corresponded to the 19^(th) and 10^(th) most frequently cloned sequences, respectively, from the small RNA libraries in the ASRP database (Table 5). TABLE 5 Highly represented small RNAs in the ASRP database. Rank Small RNA Family ASRP no. Total sequences 1 miR169 1430 25570 2 miR156 1423 14029 3 miR169 1751 6491 4 miR161.2 563 6227 5 miR160 1426 4752 6 miR159 1425 4567 7 miR169 1514 3944 8 miR166 934 3482 9 miR167 5 2893 10 siR1511 ta-siRNA 1511 1901 11 miR390 754 1373 12 miR169 1802 874 13 miR169 1749 685 14 miR169 1761 660 15 miR168 1429 642 16 miR390 1703 589 17 miR169 276 457 18 miR169 1757 405 19 siR255 ta-siRNA 255 321 20 miR169 1775 299

To confirm that TAS2 is a ta-siRNA-generating locus, and to extend the analysis of biogenesis requirements of this class of small RNA, TAS2-derived small RNAs and siR255 from the miRNA- and siRNA-defective mutants were analyzed in blot assays. Small RNAs from the opposite strand at the TAS2 locus were also analyzed. Accumulation of each small RNA was lost or diminished in dcl1-7, hen1-1 hyl1-2, rdr6-11 and sgs3-11, but not in hst-15 (FIG. 5D). Accumulation levels were unaffected in dcl2-1, dcl3-1, rdr1-1 and rdr2-1 mutants (FIG. 5D). These data confirm that TAS2 is a ta-siRNA-generating locus.

The biogenesis data were consistent with a model in which ta-siRNA precursor transcripts are recognized by RDR6/SGS3 and converted (at least partially) to dsRNA forms, which are then processed by DCL1 in phased, 21-nucleotide intervals to form ta-siRNA duplexes. Setting the correct register must be a critical step in this pathway, as out-of-register processing would yield small RNAs with insufficient complementarity to their targets. We hypothesized that miR173-guided cleavage of precursor transcripts generates a terminus that, after RDR6/SGS3-dependent conversion to dsRNA, functions as a start point for successive DCL1-mediated cleavage events in 21-nucleotide intervals. This hypothesis predicts that the predominant ta-siRNAs will form with a 21-nucleotide phase starting at the miR173 cleavage site. A systematic coding system, in which hypothetical DCL1 cleavage products from the miR173-targeted strand [3′D1(+), 3′D2(+), 3′D3(+), etc.] and opposite strand [3′D1(−), 3′D2(−), 3′D3(−), etc.] were assigned a strict phasing relative to miR173 target sites, was devised (FIG. 5A, B, C).

Each of the nine cloned ta-siRNAs identified collectively at the four miR173-targeted loci mapped precisely to the phasing interval set by miR173-guided cleavage (FIG. 5A,B,C). As predicted from the known properties of Dicer-like enzymes, small RNAs from the non-targeted strand (for example, siR143 and siR1946) were offset by two nucleotides relative to the complementary sequence on the target strand. The register was maintained at each locus through at least the 3′D6 position, and at TAS1a through the 3′D8 position. A total of 19 unique small RNAs, from positions 3′D1 to 3′D8, had 5′ ends formed by accurate in-phase cleavage but 3′ ends offset by one or two nucleotides. Slight variation of this nature was expected, as Arabidopsis miRNA populations frequently contain processing variants that differ by one or a few nucleotides. In addition to TAS1-derived siRNAs (e.g. siR255), which were confirmed to guide cleavage of miRNA targets (FIG. 5E), a hypothetical ta-siRNA from the 3′D6(−) position at the TAS2 locus was predicted to interact with at least two PPR gene transcripts (At1g12770 and At1g63130, FIG. 5E). At1g12770 was one of the five dcl1-1, hen1-1 and rdr6-15-upregulated genes (FIG. 4D), which was consistent with identity as a ta-siRNA target, although we were unable to validate a cleavage site at the predicted position within the transcript (FIG. 5E).

miR390 Guides In-Phase Processing of ta-siRNAs Regulating ARF3 and ARF4

The predicted target of miR390 was a transcript from the annotated gene At3g17185 (FIG. 6A), for which no function was assigned previously. The hypothetical protein encoded by this gene is small (50 residues) and contains no recognizable motifs, raising the possibility that At3g17185 is a misannotated, protein-noncoding locus. The miR390 target site was validated by 5′RACE analysis (9/22 PCR products sequenced), although a second cleavage site 33 nucleotides away was detected at approximately the same rate (11/22 PCR products).

The hypothesis that At3g17185 is a ta-siRNA-generating locus targeted by miR390 was tested by analysis of small RNAs from the locus, and prediction and validation of putative ta-siRNA target genes. Two low-abundance, cloned small RNAs from sequences to the 5′ side of the miR390 cleavage site were identified (FIG. 6A). siR1769 derived precisely from the 5′D1(+) position, whereas siR1778 was out-of-register (relative to the miR390-guided cleavage site) between the −5′D7 and 5′D8 positions. Blot assays using strand- or sequence-specific radiolabeled probes to detect small RNAs arising from between the 5′D5 to the 5′D11 positions revealed that DCL1-, HEN1- and RDR6- and SGS3-dependent, 21-nucleotide small RNAs arose from both strands (FIG. 6B). Thus, the At3g17185 locus forms transcripts that yield small RNAs with biogenesis requirements consistent with other ta-siRNAs. In addition to 21-nucleotide RNAs, this locus also yielded detectable 24-nucleotide RNAs, which were clearly DCL3- and RDR2-dependent and RDR6- and SGS3-independent (FIG. 6B).

Potential targets of sequenced and hypothetical ta-siRNAs from the At3g17185 locus were identified through several computational and experimental validation steps. First, phylogenetic conservation of the miR390 target site, which was predicted to set the phasing for ta-siRNA precursor processing, was analyzed. Transcripts and ESTs from each of 17 species of monocot and dicot plants contained a miR390 target site, which was uniquely conserved relative to immediate flanking sequence in each case (FIG. 6C). Second, functional ta-siRNAs and their targets were predicted to be phylogenetically conserved across an equivalent evolutionary distance. In Arabidopsis, two highly conserved, tandem 21-nucleotide sequences were detected at positions that nearly co-aligned with the hypothetical 5′D7(+) and 5′D8(+) positions relative to the miR390 cleavage site (FIG. 6C). These two intervals contained near-identical copies of the same sequence, which was conserved among all transcripts that contained a miR390 target site (FIG. 6C). The spacing between the conserved, tandem sequences and the miR390 target site varied between the 5′D7(+) and 5′D8(+) positions in different species. In all plants, however, the tandem sequences and the miR390 target site varied between the 5′D7(+)/5′D8(+) and the 5′D3(+))/5′D4(+) positions in different species. In all plants, however, the tandem sequences started in either perfect 21-nucleotide register (5/19 species) or one-nucleotide offset (14/19 species) relative to the miR390 cleavage site.

Third, using the rules developed for miRNA target prediction, four genes (ARF1, ARF2, ARF3, and ARF4) were predicted to be targets of these conserved ta-siRNAs. Both ARF3 and ARF4 genes behaved as ta-siRNA targets, as each was up-regulated in dcl1-7, hen1-1 and rdr6-15 mutant plants (FIG. 4D). Both ARF3 and ARF4 genes from 16 species contained two regions (‘A’ and ‘B’) of complementarity to the predicted ta-siRNAs (FIG. 6D); the ‘A’ site was also conserved in ARF1 and ARF2 genes across all plant species tested. And fourth, the ‘A’ site in both ARF3 and ARF4 was validated as a ta-siRNA target site by 5′RACE. In contrast to most miRNA target sites, the ARF3 and ARF4 ‘A’ site contained several minor cleavage products in addition to the product formed by cleavage at the canonical target position (FIG. 6D). Evidence supporting ta-siRNA targeting at the ‘B’ site within the ARF4 transcript was also obtained (FIG. 6D). Thus, the ta-siRNA-generating locus was named TAS3.

Although a small RNA from the TAS3 5′D2(−) position was not cloned, a hypothetical ta-siRNA from this position may account for the second TAS3 transcript cleavage site mapped by 5′RACE (FIG. 6A). This cleavage site occurs precisely at the position predicted if TAS3 5′D2(−) guided cleavage by a RISC-like mechanism. This cleavage site would also set the phase for ta-siRNA precursor processing to generate siR1778. This suggests that ta-siRNAs have the potential to interact with transcripts from which they originate as well as miRNA targets.

Discussion

Combined with previous data, most notably from Jones-Rhoades et al., we are now aware of 25 validated miRNA families, 53 unique miRNA sequences and 99 potential MIRNA loci in A. thaliana. Seventy-three genes have now been validated experimentally as targets for miRNAs in 24 families. Fifty-three targets were validated in previous studies. Twenty predicted targets of eleven miRNAs were validated or confirmed in this study (FIG. 5, Table 3). These included mRNAs for SBP4 (miR156), Auxin Response Factor 16 (ARF16; miR160), two NAC domain proteins (miR164), AtHB15 (miR165/166), ARF6 (miR167), six HAP2 family proteins (miR169), E2-UBC (miR399), AGO2 (miR403), 2PGK (miR447), and five non-coding genes (miR173 and miR390).

miRNAs are processed from genes that produce a primary transcript that forms a stable foldback structure, processed by DCL1, and therefore requires no polymerase and produces no antisense small RNAs. Trans-acting siRNAs have similar biogenesis requirements as miRNAs, but lack a stable foldback structure (Peragine et al., Genes & Dev 18:2369-2379, 2004; Vazquez et al., Mol Cell 16:69-79, 2004b). As a result, they require a polymerase, most likely RDR6, for second strand generation. Two defining characteristics of ta-siRNAs are the presence of antisense 21-nucleotide small RNAs, and a linear, in-phase processing of both sense and small RNAs. Unlike other classes of siRNAs, ta-siRNAs can be incorporated into RISC and trigger site-specific cleavage of target genes, similar to miRNAs. Both miRNAs and ta-siRNAs are uniquely insensitive to DCL2, DCL3, RDR1, and RDR2. In the absence of a comprehensive profile of biogenesis mutants, it is impossible to properly catalog small RNA function. Using this strict set of criteria, we characterized four miRNA families, two of which were previously identified.

Our target prediction algorithm confirmed the robust predictions for the majority of validated miRNAs. Additional targets were validated within this group, including eight targets residing in the untranslated region of the target messenger RNA, including SPL4, an E2-UBC gene At2g33770, and six HAP2 transcripts. Notably, most miR156 targets are located in the coding region of SPL transcripts, whereas two reside immediately downstream of the stop codon in the 3′ UTR, SPL3 and SPL4 (Rhoades et al., Cell 110:513-520, 2002). Interestingly, two splicing variants of SPL4 exist, one with the miR156 target site (AU227430, BP595743) and one that lacks the target site (BX814070.1), although the coding sequence is unchanged. Potentially the alternately spliced variant of SPL4 would allow an additional level of miRNA-mediated control. The E2-UBC gene is unique in that it contains five miR399 targets in its 5′ UTR. The multiple miR399 target sites are conserved among distantly related plant species. The multiple sites might be necessary for miRNA targeting in the 5′ UTR to increase the chance of cleavage before ribosomes could clear the miRNA from the miRNA, although the nature of multi-site regulation remains to be determined.

We identified six novel miRNA target loci in the Arabidopsis EST database using a computational prediction algorithm developed based on validated miRNA-target characteristics. Previous computational searches for miRNA targets in plants have only used transcript databases, as a result missing these target genes (Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004). The miR403 target, Ago2, is the second Argonaute family gene to be miRNA regulated. Arabidopsis Ago2 does not have a close ortholog in mammals, and its role in small RNA function is unknown (Carmell et al., Genes Dev 16:2733-2742, 2002; Mochizuki et al., Cell 110:689-699, 2002). The remaining five miRNA targets from the EST database search are non-protein coding loci, all of which produce 21-nucleotide small RNAs, in phase with the miRNA cleavage site. Four loci were validated to generate functional ta-siRNAs, including a family of unclassified genes, as well as ARF3 and ARF4. The ta-siRNA target genes were upregulated in dcl1-7, hen1-1 and rdr6-15, which could provide a diagnostic test for ta-siRNA target genes. Both miR390 and the TAS3 locus are conserved among distantly related plants. A complete profile of small RNA coding-genes will require thorough complementary molecular and computational approaches, perhaps with consideration of conserved 21-nucleotide regions in annotated intergenic regions. Potentially, identification of non-protein coding genes will be facilitated by genome tiling data (Yamada et al., Science 302:842-846, 2003) in combination with small RNA cloning and biogenesis profiling.

We propose a model in which miRNA cleavage initiates the starting phase for ta-siRNA production (FIG. 7). The primary miRNA targeted cleavage of an RNA Polymerase II transcript (step 1) recruits a RISC complex to the RNA. In addition, RDR6 and SGS3 could be recruited by the RISC:miRNA:target complex. Cleavage by the miRNA at a specific position creates a unique initiation position. Following cleavage, RDR6/SGS3 polymerize a second strand (step 2), creating a double stranded RNA (dsRNA Either the 5′ (e.g. TAS3) or 3′ (e.g. TAS1 and TAS2) cleavage product can be utilized as the RDR6 template. In either case, DCL processing of 21-nucleotide siRNA duplexes (step 3) proceeds in-phase from the primary miRNA cleavage site. Dicer in animals is known to catalyze cleavage from a free end (Zhang et al., Cell 118:57-68, 2004). We did not identify any in-phase small RNAs beyond nine phases from the miRNA cleavage initiation site, suggesting either the RDR6/SGS3 complex or the DCL1 complex is not highly processive. One strand of the siRNA duplex is loaded back into a RISC complex, following the known siRNA incorporation rules (Khvorova et al., Cell 115:209-216, 2003; Schwarz et al., Cell 115:199-208, 2003). Following RISC incorporation of the ta-siRNA (step 4), ta-siRNAs function like miRNAs to facilitate cleavage or target genes in trans (step 5).

The regulatory role of miRNAs for all target genes previously identify is to repress target gene expression, through either cleavage or by blocking translation. Our results suggest that miRNAs also act as a positive regulator of ta-siRNA biogenesis through recruitment of RISC and initiation of unique and highly specific phasing for DCL1-mediated processing. Although we have only found evidence for a single active ta-siRNA (or highly similar tandem sequence repeat), multiple, phased ta-siRNAs could provide an advantage through generation of multiple, independent regulatory (ta-siRNA-forming) units from a single locus. The discovery that a miRNA:ta-siRNA:target regulon is conserved among distantly related plants shows that this type of regulation is not specific to Arabidopsis, opening the possibility of an entirely new class of small RNA mediated gene regulation.

EXAMPLE 2 MiRNA-Directed Biogenesis of ta-siRNAs In Vivo

To experimentally test the hypothesis that ta-siRNA biogenesis is initiated by miRNA-guided cleavage of primary transcripts, TAS1 and TAS2 were co-expressed transiently with MIR173 in Nicotiana benthamiana. If miR173 is required for siR255 production, as predicted herein, then siR255 should be formed only in the presence of miR173. At least some of the the material in this example was published in Allen et al. (Cell 121:207-221, 2005), which is incorporated herein by reference in its entirety.

Expression cassettes containing the TAS1a, TAS1b, TAS1c and TAS2 loci (which all include both an initiator sequence, containing an initiator cleavage site, and a gene suppressing element) were delivered into Nicotiana benthamiana plant cells (Llave et al., Plant Cell 14:1605-1619, 2002; Palatnik et al., Nature 425:257-263, 2003) in the presence or absence of an expression cassette containing miR173, and ta-siRNA accumulation was scored. Expression of full-length TAS1b [35S:TAS1b(+)], a short version of TAS1b [35S:TAS1b(+)sh], and full-length TAS1a [35S:TAS1a(+)] resulted in siR255 accumulation only in the presence of a construct (35S:miR173) expressing miR173 (FIG. 14A, lanes 7, 8, 13, 14, 17, 18). Likewise, siR255 from the TAS1c construct [35S:TAS1c(+)], and siR1511 from the TAS2 construct [35S:TAS2(+)], both accumulated only in the presence of the miR173 construct (FIG. 14B, lanes 7, 8, 11, 12). Ta-siRNAs were not detected after expression of any of the TAS1 or TAS2 constructs alone (FIG. 14A, lanes 3, 4, 11, 12, 15, 16; FIG. 14B, lanes 5, 6, 9, 10), or after expression of the miR173-non-targeted strand of the short version of TAS1b [35S:TAS1b(−)sh] in either the presence or absence of miR173 (FIG. 14A, lanes 5, 6, 9, 10). In the presence of miR173, siR255 accumulated to levels up to 7.6 fold higher using the TAS1a(+) and TAS1c(+) constructs compared to the TAS1b(+) constructs. This may reflect a relatively poor miR173-TAS1b interaction, which involves two mismatched positions near the target cleavage site (FIG. 5B).

To confirm that ta-siRNA biogenesis requires miRNA-directed targeting of primary transcripts, a TAS1b mutant construct [35S:TAS1b(+)shmut1] with a disrupted miR173 target site was expressed in the presence of miR173. The TAS1b mutant was also expressed in the presence of a modified miR173 construct (35S:miR173res1) containing base substitutions to restore interaction with the TAS1b mutant (FIG. 14C, top). Mutations affecting the TAS1b target site or miR173 resulted in the loss of siR255 biogenesis (FIG. 14C, lanes 7, 8, 11, 12). In contrast, siR255 accumulation was restored when the TAS1b mutant was co-expressed with the miR173res1 construct (FIG. 14C, lanes 13, 14).

Thus, in each independent experiment, siRNAs from each locus were detected (by RNA blot assay) only in the presence of a construct that formed miR173 (FIG. 14). Mutations that disrupted the miR173 target site in the TAS1b construct eliminated siRNA (siR255) formation. However, mutations in the miR173 sequence to restore complementarity with the mutated target sequence restored the formation of siR255 (FIG. 14). These data support the model that states ta-siRNA biogenesis requires a miRNA-guided initiation cleavage. It also demonstrates that an expression cassette containing an initiator sequence and a gene suppressing element can direct production of a siRNA in the presence of an expression cassette containing a miRNA. Stated another way, these data show that a functional miRNA target site in the ta-siRNA primary transcript is required to trigger ta-siRNA formation.

See also Example 6, below, for additional details.

EXAMPLE 3 Plant Transformation Vectors/Plasmids

This example illustrates the construction of plasmids for transferring recombinant DNA into plant cells which can be regenerated into transgenic plants, e.g., expressing in a plant siRNA for suppression of an endogenous gene. See also Example 6, below.

A recombinant DNA construct for plant transformation construct 1A is fabricated for use in preparing recombinant DNA for transformation into corn tissue comprising the a selectable marker expression cassette, a siRNA-triggering cassette and a cleavage initiating cassette. The marker expression cassette comprises a rice actin 1 promoter element(s) operably linked to sequence(s) encoding a chloroplast transit peptide from Arabidopsis thaliana ShkG gene and an aroA protein from Agrobacterium tumefaciens, strain CP4, followed by a 3′ region of an Agrobacterium tumefaciens nopaline synthase gene (nos). The siRNA-triggering cassette is positioned tail to tail with the marker expression cassette and comprises 5′ regulatory DNA from a maize seed specific promoter L3 (as disclosed in U.S. Pat. No. 6,433,252) operably linked to DNA encoding RNA comprising an initiator sequence that is highly complementary to a microRNA such as miR173 (or any microRNA or siRNA, including any listed herein) and at least one 21-nucleotide segment from LKR. An initiation cleavage cassette is positioned head to head with the marker expression cassette and comprises a maize seed specific promoter L3 and DNA expressing a microRNA (e.g., miR173) that guides cleavage of the initiation cleavage site in the siRNA-triggering cassette. Construct 1A is useful for plant transformation, e.g. by microprojectile bombardment. Transgenic corn callus is produced by microprojectile bombardment of construct 1A using methods disclosed in U.S. Pat. No. 6,399,861.

A plasmid vector 1B for use in Agrobacterium-mediated methods of plant transformation is prepared by inserting construct 1A into a plasmid between left and right T-DNA border sequences from Agrobacterium. Outside of the T-DNA borders the plasmid also contains origin of replication DNA to facilitate replication of the plasmid in both E. coli and Agrobacterium tumefaciens and a spectinomycin/stretptomycin resistance gene for selection in both E. coli and Agrobacterium. Transgenic corn callus is produced by Agrobacterium-mediated transformation of plasmid vector 1B using methods disclosed in U.S. Pat. No. 5,591,616.

Transgenic corn plants are regenerated from transgenic callus produced by microprojectile bombardment and Agrobacterium-mediated transformation; callus is placed on media to initiate shoot development in plantlets which are transferred to potting soil for initial growth in a growth chamber at 26° C. followed by growth on a mist bench before transplanting to 5 inch pots where plants are grown to maturity. The plants are self fertilized and seed is harvested for screening as seed, seedlings or progeny R2 plants or hybrids, e.g. for yield trials in the screens indicated above. Transgenic plants with higher levels of lysine resulting from suppressed levels of LKR and which are homozygous for the recombinant DNA are identified. The homozygous plants are self pollinated to produce transgenic seed with the recombinant DNA comprising siRNA-triggering cassettes.

EXAMPLE 4 Inhibition of Plant Pest Genes

This example illustrates the construction of plasmids for transferring recombinant DNA into plant cells which can be regenerated into transgenic described herein, particularly expressing in a plant siRNA for suppression of genes in a plant pest.

Recombinant DNA constructs 2A, 2B and 2C are fabricated for soybean transformation by microprojectile bombardment essentially like construct 1A except that the promoter used in the siRNA-triggering cassette and the initiation cleavage cassette is a root tissue-expressing promoter and the 21-nucleotide segment is derived from DNA encoding soybean cyst nematode proteins as disclosed in US Patent Application Publication 2004/0098761 A1. In construct 2A the 21-nucleotide segment is from a major sperm protein; in construct 2B the 21-nucleotide segment is from a chitin synthase; and in construct 2C the 21-nucleotide segment is from an RNA polymerase II. Soybean is transformed by microprojectile bombardment using constructs 2A, 2B and 2C using methods as disclosed in U.S. Pat. No. 5,914,451 and transgenic soybean plants are regenerated which exhibit resistance to soybean cyst nematode infestation as compared to control plants.

Plasmid vectors 2D, 2E and 2F for use in Agrobacterium-mediated methods of plant transformation are prepared by inserting constructs 2A, 2B and 2C, respectively, into plasmids with T-DNA borders similar to plasmid vector. Soybean is transformed by Agrobacterium-mediated transformation of plasmid vectors 2D, 2E and 2F using methods disclosed in U.S. Pat. No. 6,384,301 and transgenic soybean plants are regenerated which exhibit resistance to soybean cyst nematode infestation as compared to control plants.

EXAMPLE 5 Expression of Arabidopsis thaliana MIRNA Genes

Recent molecular cloning and computational analyses have identified nearly one-hundred potential genetic loci for MIRNA genes in the Arabidopsis thaliana genome. However, information about the structure and expression of these genes is generally lacking. The transcriptional start site for each of 63 miRNA precursor transcripts from 52 MIRNA (99 total loci tested) was mapped. A portion of the loci yielded multiple transcripts from alternative start sites, and some contained introns between the foldback structure and the 5′ end. Analysis of a representative set of transcripts revealed characteristics consistent with transcription by Pol II. A canonical TATA box motif was identified computationally upstream of the start site(s) at some MIRNA loci. The 5′ mapping data were combined with miRNA cloning and 3′-PCR data to definitively validate expression some of known MIRNA genes. These data provide a molecular basis to explore regulatory mechanisms of miRNA expression in plants.

Material from this example was published as Xie et al., Plant Physiol. 138(4):2145-2154, 2005; Epub 2005 Jul. 22, which is incorporated herein by reference in its entirety.

MicroRNAs (miRNAs) are ˜21-nucleotide noncoding RNAs that post-transcriptionally regulate expression of target genes in multicellular plants and animals (Bartel, Cell 116:281-297, 2004). Mature miRNAs are generated through multiple processing steps from longer precursor transcripts that contain imperfect foldback structures. In animals, MIRNA genes are transcribed by RNA polymerase II (pol II) (Bracht et al., RNA 10: 1586-1594, 2004; Cai et al., RNA 10: 1957-1966, 2004; Lee et al., EMBO J 23:4051-4060, 2004), yielding a primary transcript (pri-miRNA) that is processed initially by nuclear RNaseIII-like Drosha (Lee et al., Nature 425:415-419, 2003). The resulting pre-miRNA transcripts are transported to the cytoplasm and processed by Dicer to yield mature-size miRNAs (Lee et al., EMBO J 21:4663-4670, 2002). Less is known about the miRNA biogenesis pathway in plants, although most or all miRNAs require Dicer-like1 (DCL1) (Park et al., Curr Biol 12:1484-1495, 2002; Reinhart et al., Genes Dev 16:1616-1626, 2002). The lack of a Drosha ortholog in plants, and the finding that DCL1 functions at multiple steps during biogenesis of miR163, suggest that the plant miRNA pathway may differ from the animal pathway (Kurihara & Watanabe, Proc Natl Acad Sci USA 101:12753-12758, 2004). miRNAs in both animals and plants incorporate into an effector complex known as RNA-induced Silencing Complex (RISC) and guide either translation-associated repression or cleavage of target miRNAs (Bartel, Cell 116:281-297, 2004).

Computational and molecular cloning strategies revealed over 100 potential MIRNA genes belonging to at least 27 families in the Arabidopsis genome (Llave et al., Plant Cell 14:1605-1619, 2002; Mette et al., Plant Physiol 130:6-9, 2002; Park et al., Curr Biol 12:1484-1495, 2002; Reinhart et al., Genes Dev 16:1616-1626, 2002; Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004; Sunkar & Zhu, Plant Cell 16:2001-2019, 2004; Wang et al., Genome Biol 5:R65, 2004). These miRNA families target miRNAs encoding proteins that include a variety of transcription factors involved in development, DCL1 and the RISC factor ARGONAUTE1(AGO1), components of the SCF complex involved in ubiquitin-mediated protein degradation, and several other classes of metabolic and stress-related factors (Rhoades et al., Cell 110:513-520, 2002; Xie et al., Curr Biol 13:784-789, 2003; Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004; Sunkar & Zhu, Plant Cell 16:2001-2019, 2004; Vaucheret et al., Genes Dev 18:1187-1197, 2004) (see also Example 1). Based on tissue distribution and limited in situ expression data, most plant miRNAs are likely regulated at spatial and/or temporal levels during development (Chen, Science 303:2022-2025, 2004; Juarez et al., Nature 428:84-88, 2004; Kidner & Martienssen, Nature 428:81-84, 2004). Overexpression or knockout of MIRNA genes, or expression of MIRNA genes outside of their normal expression domains, can lead to severe developmental defects (Aukerman & Sakai, Plant Cell 15:2730-2741, 2003; Palatrik et al., Nature 425:257-263, 2003; Achard et al., Development 131:3357-3365, 2004; Chen, Science 303:2022-2025, 2004; Juarez et al., Nature 428:84-88, 2004; Kidner & Martienssen, Nature 428:81-84, 2004; Laufs et al., Development 131:4311-4322, 2004; Mallory et al., Curr Biol 14:1035-1046, 2004a; Mallory et al., EMBO J 23:3356-3364, 2004; McHale & Koning, Plant Cell 16:1730-1740, 2004; Emery et al., Curr Biol 13:1768-1774, 2003; Zhong & Ye, Plant Cell Physiol 45:369-385, 2004). Understanding the mechanisms governing MIRNA gene expression patterns and integration into regulatory networks will be necessary for a clear understanding of the biological function of miRNAs.

In this example, several new Arabidopsis miRNAs were identified by a computationally assisted cloning approach and the use of mutants that contained miRNA-enriched pools of small RNAs. Expression of 99 MIRNA genes in Arabidopsis was examined experimentally. First, features associated with transcription initiation of MIRNA genes were analyzed, revealing core promoter, start sites and other properties that were consistent with a pol II mechanism of transcription. And second, a survey of expression of each known MIRNA locus was done to identify functional MIRNA genes.

Materials and Methods

Cloning of A. thaliana Small RNAs and miRNA Prediction.

Extraction of low molecular weight RNA and library construction was done as described (Llave et al., Plant Cell 14:1605-1619, 2000; Lau, Science 294:858-862, 2001). RNA was extracted from three-day post germination seedlings, embryos from developing siliques, aerial tissues including rosette leaves and apical meristems, or stage 1 to 12 enriched inflorescence from wildtype Columbia-0, and jaw-D, rdr2-J and dcl3-1 mutants described previously (Palatnik et al., Nature 425:257-263, 2003; Xie et al., PLoS Biol 2:642-652, 2004). Seedling libraries were constructed for Col-0, rdr2-1, and dcl3-1, embryo libraries for rdr2-1, aerial libraries for jaw-D, and inflorescence libraries for Col-0 and rdr2-1. Sequences were filtered to remove organellar, rRNA, and those not present in A. thaliana. Remaining small RNAs between 18 and 26 nucleotides were deposited in the ASRP database (available on-line at asrp.cgrb.oregonstate.edu/). Candidate miRNA prediction used a set of six filters. First, structural RNAs were filtered before entry into the ASRP database by manual scoring of BLAST hits to known rRNA, tRNA, and organellar RNA. Second, small RNAs from repeats identified using RepeatMasker (Jurka, Trends Genet 16:418-420, 2000) or from predicted protein-coding genes and psuedogenes only were removed. Third, a small RNA cluster filter was applied to remove small RNAs within 500 nt of another small RNA in the opposite orientation. The fourth filter removed any small RNA outside the typical size (20-22 nucleotides). Fifth, characteristics including the minimum paired bases of the miRNA:miRNA* duplex in the reference set (>16), maximum foldback size (350 nucleotides), and a requirement for the miRNA and its duplex to be on a single stem were determined. Foldbacks in which the miRNA:miRNA duplex contained more than three contiguous unpaired bases were excluded. The RNAFold in the Vienna RNA Package was used to predict potential duplexes containing the small RNA, and those with duplexes not meeting the above criteria were excluded (Hofacker, Nucleic Acids Res 31:3429-3431, 2003). Sixth, validated miRNAs and closely related family members, as well as small RNAs processed from a miRNA locus (including miRNA*) were identified by FASTA and comparison of small RNA loci on the ASRP genome browser. These small RNAs were annotated as family members of validated miRNAs, and removed from the predicted miRNA pool.

Small RNA Blot Analysis.

Low molecular weight RNA (5 μg) from A. thaliana inflorescence tissue was used for miRNA and endogenous siRNA analysis. Mutant lines for dcl1-7, dcl2-1, dcl3-1, rdr1-J, rdr2-1, hen1-1, hyl1-2, rdr6-11, rdr6-15, and sgs3-11 were described previously (Park et al., Curr Biol 12:1484-1495, 2002; Allen et al., Nat Genet 36:1282-1290, 2004; Peragine et al., Genes & Dev 18, 2368-2379, 2004; Vazquez et al., Curr Biol 14:346-351, 2004; Xie et al., PLoS Biol 2:642-652, 2004). The hst-15 allele used was the SALK_(—)079290 T-DNA insertion line from ABRC, which contains a T-DNA at position 1584 from the start codon. Probes for miR159, miR167, and AtSN1-siRNA blots were described previously (Llave et al., Plant Cell 14:1605-1619, 2002; Zilberman et al., Science 299:716-719, 2003). All other miRNAs were detected using end-labeled DNA oligonucleotides. Probes for ta-siRNA loci were PCR amplified from Col-0 genomic DNA, cloned into pGEMT-Easy, and verified by sequencing. Radiolabeled probes incorporating ³²P-UTP were made by T7 RNA polymerase transcription, to obtain strand specific small RNA probes. Probes were as follows: At1g17185 locus, Chr3:5862146-5862295; At2g39680 locus, Chr2:16546831-16547300.

5′RACE Mapping of MIRNA Transcripts

Two Arabidopsis thaliana (Col-0) sample preparations were used for RNA isolation: inflorescence tissues from 4-week old plants grown under greenhouse condition and 4-day old seedlings grown on MS media in a growth chamber. Total RNA was extracted using TRIzol reagent (Invitrogen) followed by column purification using a RNA/DNA midi kit (Qiagen). The extracts were subjected to two rounds of purification using Oligotex (Qiagen) for the enrichment of poly(A)⁺ RNA. The 5′ends of MIRNA transcripts were mapped by a RNA ligase-mediated 5′RACE (RLM-5′RACE, Invitrogen). Complementary DNA (cDNA) was synthesized with poly(A)+-enriched RNA (125 ng/reaction), which was first treated with calf intestine phosphatase and tobacco acid pyrophosphatase (CIP+TAP), using random oligonucleotide hexamers as primers. A cDNA pool containing equal amounts of cDNA from each tissue was used as template in 5′RACE PCR with a primer (Invitrogen) specific to the RNA adaptor sequence and a locus-specific reverse primer. In cases where no product was detected, a second-round PCR was done using a 5′ nested primer and a locus-specific nested primer. The default annealing temperature in the touchdown PCR reaction was 65° C. For a MIRNA locus with a negative 5′RACE result after the second-round PCR, two additional PCR reactions with the nested primers were done with altered annealing temperatures. The PCR products from a positive 5′RACE were gel-purified and cloned into pGEM-Teasy vector. A minimum of 6 clones were sequenced for each PCR product.

The RLM-5′RACE procedure was used to analyze the presence or absence of a cap structure on several miRNA transcripts. A capped miRNA [Scarecrow-like6-IV (SCL6-IV)] and a non-capped RNA (miR171-guided cleavage product of SCL6-IV miRNA) were used as control RNAs. Parallel RLM-5′RACE reactions were done using poly(A)+-enriched RNA that was CIP+TAP treated and non-treated, which was selective for amplification of 5′ ends that contained or lacked a cap structure, respectively.

For some miRNA transcripts, 3′RACE was done using poly(A)+-enriched RNA. cDNA was synthesized using an adaptor-tagged oligo(dT) primer. Two gene-specific forward primers were designed for each locus tested. The identity of the 3′RACE products were confirmed by sequencing. The sequences of the locus-specific primers are provided in SEQ ID NOs: 349 to 614, and were published in Supplementary Table 2 in Xie et al., Plant Physiol. 138(4):2145-2154, 2005; Epub 2005 Jul. 22.

Computational Identification of Conserved Upstream Sequence Motifs

A 60-bp (−50 to +10) genomic sequence flanking the start site for 63 transcripts from 47 MIRNA loci was analyzed using BioProspector, a Gibbs sampling-based motif-finding program (Liu et al., 2004). Searches with a motif width of 6-8 nucleotides were done. In all cases, TATA-like sequences were identified as the only conserved motif. A second search (8-nucleotide width) was done using an extended MIRNA upstream region (−200 to +50) to analyze the distribution of the putative TATA motif using MotifMatcher, with the 8-nucleotide motif matrix generated by BioProspector as a sample motif (Ao et al., Science 305:1743-1746, 2004). Up to three matches to the TATA motif were allowed.

Results and Discussion

Identification and Validation of Arabidopsis miRNAs

Several small RNA libraries were constructed from wild-type (Col-0) A. thaliana seedling and inflorescence tissues, and from aerial tissues of jaw-D plants that over express miR-JAW (miR319) (Palatnik et al., Nature 425:257-263, 2003). Among all 2357 sequences analyzed collectively from these libraries, only 32.7% corresponded to known or subsequently validated miRNA families. Most of the remaining small RNAs corresponded to diverse sets of endogenous small RNAs arising from repeated sequences such as transposons, retroelements, simple sequence repeats, inverted duplications, rDNA genes and other genic and intergenic sequences (Llave et al., Plant Cell 14:1605-1619, 2002; Xie et al., PLoS Biol 2:642-652, 2004). To genetically enrich for miRNAs, small RNA libraries were constructed from embryo, seedling, and inflorescence tissues of rdr2-1 mutant plants, and from seedlings of dcl3-1 mutant plants. These plants contain relatively low levels of −24-nucleotide siRNAs from repeated sequences, but maintain normal levels of miRNAs (Xie et al., PLoS Biol 2:642-652, 2004). Among 3164 sequences analyzed collectively from the rdr2-1 and dcl3-1 libraries, 70.5% corresponded to previously characterized miRNAs, representing a 2.2-fold overall enrichment relative to the wild-type libraries. Endogenous siRNAs from known repeat families (identified from RepBase) were reduced 43.9-fold in the mutant libraries. The majority of the remaining small RNAs corresponded to sequences from two rdr2-independent small RNA-generating loci, or from rRNA genes. Unique miRNA and endogenous siRNA sequences from all libraries are available in the Arabidopsis Small RNA Project (ASRP) database (available on-line at asrp.cgrb.oregonstate.edu).

To identify new miRNAs in the cloned libraries, the small RNA sequences were subjected to a series of five computational filters (FIG. 8A). The filters were designed using the properties of a founder set of published, validated Arabidopsis miRNAs with codes within the range of miR156-miR399 (excluding miR390 and miR391; RFAM). Among the 48 unique miRNA sequences from 92 loci (22 validated miRNA families) in the founder set, 34 miRNA sequences from 71 loci (19 families) were in the cloned database. The initial filters eliminated all small RNA sequences deriving from structural RNA genes, other annotated genes and repetitive loci identified by RepeatNasker (FIG. 8A). Sequences originating from loci that yielded multidirectional clusters of small RNAs, which is a hallmark of many siRNA-generating loci, were eliminated. Small RNAs that were not 20-22 nucleotides in length, based on the cloned sequence, were also removed. Small RNAs originating from loci that lacked the potential to form a miRNA precursor-like foldback structure, consisting of a stem in which 16 or more positions within the putative miRNA-miRNA* duplex region were paired, were excluded. To test the sensitivity of these filters, the complete founder set of miRNAs was processed through the five filters. All but three passed, corresponding to a false negative rate of 0.032. MiR163 failed because it is 24 nucleotides long, and miR166 from two loci failed because of 6 mispaired miRNA positions within the foldback stem. From the cloned dataset, a total of 103 small RNAs from passed the five filters (FIG. 8A). These did not correspond to 103 unique loci, however, as many miRNA-generating loci yield multiple processed forms that are offset by one or a few nucleotides. Elimination of all sequences corresponding to founder miRNAs yielded a set of 18 small RNAs, corresponding to 13 genetic loci, as candidate new miRNAs (FIG. 8A). This set included miR390, miR391, miR403 and miR447 (FIG. 8B). Six of the 18 small RNAs corresponded to a cluster of processing variants from the two miR390 loci.

Given the high sensitivity of the computational filters using the founder set, a second set of published Arabidopsis sequences with miRNA designations were analyzed. These have not been subjected to extensive experimental validation as miRNAs. This set includes all sequences with codes between miR400-miR420 (Sunkar & Zhu, Plant Cell 16:2001-2019, 2004; Wang et al., Genome Biol 5:R65, 2004), except miR403. In contrast to the founder set, most of the small RNAs in the second set failed at one or more steps. Six small RNAs (miR401, 405a-d, 407, 416) were identified as transposon-derived, two (miR402, 408) were from annotated genes, and ten (miR401, 404, 406, 408, 413, 414, 417-420) failed the foldback prediction criteria. Given the high computational failure rate (0.84) of this set, which was 26-fold higher than the false negative rate of the founder set, it is likely that many or most of these are endogenous siRNAs and not bona fide miRNAs.

Candidate miRNAs from each of the 13 loci identified in the computational analysis was subjected to validation blot assays using a series of Arabidopsis miRNA-defective (dcl1, hyl1, hen1, and hst) and siRNA-defective (dcl2, dcl3, rdr1, rdr2, rdr6 or sgs3) mutants (Reinhart et al., Genes Dev 16:1616-1626, 2002; Kasschau et al., Dev Cell 4:205-217, 2003; Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004; Vazquez et al., Curr Biol 14:346-351, 2004; Xie et al., PLoS Biol 2:642-652, 2004). In addition, small RNAs were analyzed in transgenic plants expressing three viral RNAi suppressors (P1/HC-Pro, p19 and p21), which frequently enhance the level of miRNA accumulation (Mallory et al., Proc Natl Acad Sci USA 99:15228-15233, 2002; Kasschau et al., Dev Cell 4:205-217, 2003; Papp et al., Plant Physiol 132:1382-1390, 2003; Chapman et al., Genes Dev. 18:1179-86, 2004) but decrease the level of ta-siRNA accumulation. Previously validated miR159, miR167 and miR173, and AtSN1-derived siRNAs were analyzed in parallel as controls. Reproducible signals were detected in Col-0 and La-er control plants only using probes for miR390, miR391, miR403 and miR447 (FIG. 8C). Each of these accumulated to relatively low levels in the dcl1-7, hen1-1 and hyl1-2 mutants, but accumulated to normal or near-normal levels in the dcl2-1, dcl3-1, rdr1-1, rdr2-1, rdr6-11 and sgs3-11 mutants (FIG. 8C,D). The hst-15 mutant accumulated nearly normal amounts of the four candidates as well as the three miRNA controls (FIG. 8C), indicating that miRNA accumulation in the tissues tested was relatively insensitive to loss of HST function. MiR390, miR391, miR403 and miR447 were either up-regulated or unaffected by each of the three viral suppressor proteins (FIG. 8D). Based on structural and biogenesis criteria, we conclude that miR390, miR391, miR403 and miR447 are bona fide miRNAs. Small RNAs from the remaining eight loci (Table 6) were not detected in blot assays and were not characterized further. TABLE 6 Predicted miRNA candidates tested experimentally ASRP mIRNA miRNA name, Locus no. Sequence validation notes 1, 2 754^(a) AAGCUCAGGAGGGAUAGCGCC yes miR390 SEQ ID NO: 143 3 1728 UUCGCAGGAGAGAUAGCGCCA yes miR391 SEQ ID NO: 144 4 359 AUUAGAUUCACGCACAAACUCG yes miR403 SEQ ID NO: 145 5 1890 UUGGGGACGAGAUGUUUUGUUG yes miR447 SEQ ID NO: 146 6 382 GAGCCGACAUGUUGUGCAACUU no not detected SEQ ID NO: 147 7 991 AAUGGAAGCCUUGUCAGCUUAU no not detected SEQ ID NO: 148 8 1072 UAAAGUCAAUAAUACCUUGAAG no not detected SEQ ID NO: 149 9 1345 UAUAAGCCAUCUUACUAGUU no not detected SEQ ID NO: 150 10 1744 UUCUGCUAUGUUGCUGCUCAUU no not detected SEQ ID NO: 151 11 1928 UCUAAGUCUUCUAUUGAUGUUG no not detected SEQ ID NO: 152 12 1943 CUGUCUUCUCAACUUCAUGUGA no not detected SEQ ID NO: 153 13 2028 CGGCUCUGAUACCAAUUGAUG no not detected SEQ ID NO: 154 ^(a)Four processing variants from the two miR390 loci were cloned.

MiR390 and miR391 are related miRNAs that differ by five nucleotides, whereas miR403 and miR447 are distinct from all other known miRNAs. If miR390 and miR391 are assigned to the same family, then Arabidopsis contains 25 experimentally validated families of miRNAs encoded by up to 99 genes (Table 7). Among these families, 19 are conserved between dicots and monocots. One family (miR403) is conserved among families within dicots, and five families (miR158, miR161, miR163, miR173 and miR447) have been identified only in Arabidopsis. TABLE 7 Arabidopsis miRNA families ASRP library^(b) SEQ miRNA miRNA rdr2/ Plant Target ID families family Locus Sequence^(a) Col-0 dcl 3 species^(c) family NO. 1 miR156 a-f UGACAGAAGAGAGUGAGCAC + + At, Bn, Gm, SBP 155 Ha, Hv, Lj, Mt, Nt, Os, Pta, Ptr, Sb, Si, So, St, Vv, Zm miR156 g CGACAGAAGAGAGUGAGCACA − − At 156 miR156 h UUGACAGAAGAAAGAGAGCAC − − At 157 miR157 a-d UUGACAGAAGAUAGAGAGCAC − + At, Ptr 158 2 miR158 a UCCCAAAUGUAGACAAAGCA + − At PPR 159 b CCCCAAAUGUAGACAAAGCA − − At 160 3 miR159 a UUUGGAUUGAAGGGAGCUCUA + + At, Gm, Hv*, MYB 161 Lj, Mt, Os, Pg*, Ptr, So*, Sb*, Ta*, Vv, Zm miR159 b UUUGGAUUGAAGGGAGCUCUU − + At 162 miR159 c UUUGGAUUGAAGGGAGCUCCU − − At 163 miR319 a-b UUGGACUGAAGGGAGCUCCCU + + At, Bo, Gm, TCP 164 Lt, Os, Ptr, Ta miR319 c UUGGACUGAAGGGAGCUCCUU − − At, Os 165 4 mir160 a-c UGCCUGGCUCCCUGUAUGCCA + + At, Gm, Os, ARF 166 Ptr, Tt, Zm 5 miR161.1 a UUGAAAGUGACUACAUCGGGG + + At PPR 167 miR161.2 a UCAAUGCAUUGAAAGUGACUA + + At 168 6 miR162 a-b UCGAUAAACCUCUGCAUCCAG + + At, Gm, Ll, DCL 169 Mt, Os, Ptr, Vv 7 miR163 a UUGAAGAGGACUUGGAACUUCGAU + − At SAMT 170 8 miR164 a-b UGGAGAAGCAGGGCACGUGCA − + At, Pb, Ta NAC 171 miR164 c UGGAGAAGCAGGGCACGUGCG + + At 172 9 miR165 a-b UCGGACCAGGCUUCAUCCCCC − + At, Hc, Ptr HD− 173 ZIPIII miR166 a-g UCGGACCAGGCUUCAUUCCCC + + At, Gm, Hv, 174 In*, Mt, Os, Ptr, Sb, Zm 10 miR167 a-b UGAAGCUGCCAGCAUGAUCUA + + At, Gm, Os, ARF 175 Pc*, Ptr, Zm miR167 c UUAAGCUGCCAGCAUGAUCUU − − At 176 miR167 d UGAAGCUGCCAGCAUGAUCUGG + + At, Gm, In, 177 Ptr, So 11 miR168 a-b UCGCUUGGUGCAGGUCGGGAA + + At, Bp, Gm, AGO1 178 Ht, Hv, Le, Os, Ptr, Sb, So, St, Vv, Zm 12 miR169 a CAGCCAAGGAUGACUUGCCGA + + At, Gm, Os, HAP2 179 Ptr, Ptr miR169 b-c CAGCCAAGGAUGACUUGCCGG + + At, Gm, Os, 180 Ptr, Zm miR169 d-g UGAGCCAAGGAUGACUUGCCG + + At, Ptr 181 miR169 h-n UAGCCAAGGAUGACUUGCCUG + + At, Ls, Os, Pb, 182 Ptr, Sb, So, Ta 13 miR170 a UGAUUGAGCCGUGUCAAUAUC − + At SCR 183 miR171 a UGAUUGAGCCGCGCCAAUAUC + + At, Os, Ptr, 184 Ta, Zm miR171.2 b-c UUGAGCCGUGCCAAUAUCACG + − At, Os, Ptr, 185 Ta, Zm miR171.1 c UGAUUGAGCCGUGCCAAUAUC − + At, Gm, Hc, 186 Hv, Os, Ptr, Ta, Zm 14 miR172 a-b AGAAUCUUGAUGAUGCUGCAU − + At, Gm, Le, AP2 187 Os, Ptr, St miR172 c-d AGAAUCUUGAUGAUGCUGCAG + − At, Cs 188 miR172 e GGAAUCUUGAUGAUGCUGCAU − + At, Os, Ptr 189 15 miR173 a UUCGCUUGCAGAGAGAAAUCAC − + At TAS1, 190 TAS2 16 miR390 a-b AAGCUCAGGAGGGAUAGCGCC + + At, Os, Ptr, TAS3 143 St, Zm miR391 a UUCGCAGGAGAGAUAGCGCCA − + At 144 17 miR393 a-b UCCAAAGGGAUCGCAUUGAUC − − At, Os, Ptr TIR1/ 191 F-box bHLH 18 miR394 a-b UUUGGCAUUCUGUCCACCUCC − − At, Gm, Os, F-box 192 Ptr, Rp 19 miR395 a, d− CUGAAGUGUUUGGGGGAACUC − − At, Gm, Os, ATPS 193 e Ptr, Ta miR395 b− CUGAAGUGUUUGGGGGGACUC − − At 194 c, f At 20 miR396 a UUCCACAGCUUUCUUGAACUG − + At, Bv, Gm, GRF 195 Mc, Os, Ptr, Ppe, Ptr, So, St, Zm miR396 b UUCCACAGCUUUCUUGAACUU − − At, Bn, Gm, 196 Mc, Os, Ptr, St 21 miR397 a UCAUUGAGUGCAGCGUUGAUG − + At, Hv, Os, laccase 197 Ptr miR397 b UCAUUGAGUGCAUCGUUGAUG − − At 198 22 miR398 a UGUGUUCUCAGGUCACCCCUU − − At, Cs, Gm, Lj, Mt, Os, CSD 199 Ptr miR398 b-c UGUGUUCUCAGGUCACCCCUG − + At, Gm, Ha, CytC 200 Ls, Mt, Nb, Os, Zm* 23 miR399 a UGCCAAAGGAGAUUUGCCCUG − − At E2-UBC 201 miR399 b, c UGCCAAAGGAGAGUUGCCCUG − + At, Mt, Os, 202 Ptr, Sb miR399 d UGCCAAAGGAGAUUUGCCCCG − − At, Os 203 miR399 e UGCCAAAGGAGAUUUGCCUCG − − At 204 miR399 f UGCCAAAGGAGAUUUGCCCGG − − At, Os 205 24 miR403 a aUUAGAUUCACGCACAAACUCG + − At, Ptr AGO2 145 25 miR447 a-b UUGGGGACGAGAUGUUUUGUUG − + At 2PGK 146 miR447 c UUGGGGACGACAUCUUUUGUUG − − 206 ^(a)miRNAs are grouped by related families, with differences among families underlined; ^(b)Col-0 libraries included Col-0 seedling, aerial, and inflorescence tissues, plus jaw-d sequences, rdr2/dcl3 contained seedling libraries from both mutants, and inflorescence tissues of rdr2; ^(c)Presence of miRNA in genomic sequence is indicated in regular text, EST sequences are in bold, see information available on the World Wide Web at sanger.ac.uk/Software/Rfam/mirna/index.shtml for primary stem sequences; sequences with 1-2 base changes from the Arabidopsis sequence are indicated by an asterisk. Arabidopsis miRNA Precursors Exhibit Characteristics of pol II Transcripts

To determine if a reference set of Arabidopsis thaliana MIRNA gene transcripts contain 5′ cap structures typical of RNA pol II transcripts, a series of RNA ligase-mediated 5′RACE reactions were done using poly(A)⁺-selected RNA that was pretreated with either calf intestine phosphatase plus tobacco acid pyrophosphatase (CIP+TAP) or buffer alone. Only transcripts containing a 5′ cap should ligate to adapters, and subsequently amplify by PCR, following CIP+TAP treatment. Transcripts lacking a cap should ligate and amplify only from the sample treated with buffer alone. As controls, capped Scarecrow-like6-IV (SCL6-IV, At4g00150) transcript and miR171-guided 3′ cleavage product from SCL6-IV (containing a 5′ monophosphate) were analyzed using gene specific primer sets (FIG. 9A) (Llave et al., Science 297:2053-2056, 2002). CIP+TAP-dependent 5′RACE products of the predicted size, ˜400 and ˜1,110 bp, were detected using 5′-proximal and cleavage site-proximal primer sets, respectively (FIG. 9B, lanes 2 and 4). Buffer-dependent 5′RACE product was detected only using the cleavage site-proximal primer set (FIG. 9B, lanes 1 and 3). Using locus-specific primer sets for MIR163, MIR397b and MIR398c, CIP+TAP-dependent products but not buffer-dependent products were detected (FIG. 9B, lanes 5-10), indicating that the 5′ end of each miRNA transcript was capped. For 47 out of the 92 Arabidopsis MIRNA loci tested, 5′RACE products from poly(A)⁺-selected and 5′capped RNA were detected (see below and Table 8). Combined with previous data for MIR172b and MIR163, and the evidence for a poly(A) tail on miRNA precursor transcripts, plant MIRNA genes are likely transcribed by an RNA pol II mechanism. These data are also consistent with recent analyses of MIRNA gene transcripts from animals (Bracht et al., RNA 10:1586-1594, 2004; Cai et al., RNA 10:1957-1966, 2004; Lee et al., EMBO J. 23:4051-4060, 2004).

Identification of a Core Promoter Element for Arabidopsis MIRNA Genes

Products of 5′RACE reactions were detected using locus-specific primers for 52 of 99 MIRNA genes tested. Transcription start sites were inferred by sequence analysis of the cloned PCR products. At several loci, such as MIR171a, MIR172b, and MIR172e, multiple 5′RACE products were detected and up to three clusters of alternative transcription start sites were identified (Table 8). TABLE 8A Validated miRNA sequences cloned from Arabidopsis small RNA libraries ASRP Times database Position miRNA isolated No Locus Chrom. Start End Sequence miR156 233 1423 a 2 10683613 106683632 UGACAGAAGAGAGUGAGCAC b 4 15074951 15074970 SEQ ID NO: 155 c 4 15415497 15415516 d 5 3456714 3456733 e 5 3867214 3867233 f 5 9136129 9136148 miR156 3 1662 d 5 3456714 3456734 UUGACAGAAGAGAGUGAGCAC SEQ ID NO: 207 miR156 1 1783 e 5 3867213 3867233 GUGACAGAAGAGAGUGAGCAC f 5 9136128 9136148 SEQ ID NO: 208 miR156 1 1950 a 2 10683612 106683632 UGACAGAAGAGAGUGAGCAC b 4 15074951 15074971 SEQ ID NO: 155 c 4 15415496 15415516 d 5 3456713 3456733 e 5 3867214 3867234 f 5 9136129 9136149 miR157 1 1424 a 1 24916958 24916939 UGACAGAAGAUAGAGACAC b 1 24924768 24924787 SEQ ID NO: 209 c 3 6244698 6244679 d 1 18030676 18030657 miR157 6 1770 a 1 24916959 24916939 UUGACAGAAGAUAGAGAGCAC b 1 24924767 24924787 SEQ ID NO: 158 c 3 6244699 6244679 miR157 2 1952 d 1 18030677 18030657 CUGACAGAAGAUAGAGAGCAC SEQ ID NO: 210 miR157* 1 1782 a 1 24916888 24916868 GCUCUCUAGCCUUCUGUCAUC b 1 24924838 24924858 SEQ ID NO: 211 miR158 18 142 a 3 3366373 3366354 UCCCAAAUGUAGACAAAGCA SEQ ID NO: 159 miR158* 1 1727 a 3 3366396 3366416 CUUUGUCUACAAUUUUGGAAA SEQ ID NO: 212 miR158* 1 1735 a 3 3366397 3366416 CUUUGUCUACAAUUUUGGAA SEQ ID NO: 213 miR158* 1 2007 a 3 3366395 3366416 CUUGUCUACAAUUUUGGAAAA SEQ ID NO: 214 miR159 224 1425 a 1 27716915 27716895 UUUGGAUUGAAGGGAGCUCUA SEQ ID NO: 161 miR159 7 1747 b 1 6220806 6220826 UUUGGAUUGAAGGGAGCUCUU SEQ ID NO: 162 miR159 1 1756 b 1 6220804 6220824 UCUUUGGAUUGAAGGGAGCUC a 1 27716917 27716897 SEQ ID NO: 215 miR159 2 1800 a 1 27716915 27716896 UUUGGAUUGAAGGGAGCUCU b 1 6220806 6220825 SEQ ID NO: 216 miR159 1 2011 a 1 27716914 27716895 UUGGAUUGAAGGGAGCUCUA SEQ ID NO: 217 miR319 5 1665 a 4 12353119 12353139 UUGGACUGAAGGGAGCUCCCU b 5 16677717 16677697 SEQ ID NO: 164 miR160 101 1426 a 2 16347360 16347380 UGCCUGGCUCCCUGUAUGCCA b 4 9888999 98889019 SEQ ID NO: 166 c 5 19026405 19026385 miR160 1 1752 a 2 16347360 16347381 UGCCUGGCUCCCUGUAUGCCAU SEQ ID NO: 218 miR160 1 1754 a 2 16347360 16347381 GCCUGGCUCCCUGUAUGCCA b 4 9888999 98889019 SEQ ID NO: 219 c 5 19026404 19026385 miR160* 1 1941 c 5 19026322 19026342 CGUACAAGGAGUCAAGCAUGA SEQ ID NO: 20 miR161.1 4 111 a 1 17829398 17829418 UUGAAAGUGACUACAUCGGGG SEQ ID NO: 167 miR161.1 1 497 a 1 17829399 17829418 UGAAAGUGACUACAUCGGGG SEQ ID NO: 221 miR161.1 10 1746 a 1 17829399 17829419 UGAAAGUGACUACAUCGGGGU SEQ ID NO: 222 miR161.2 307 563 a 1 17829390 17829410 UCAAUGCAUUGAAAGUGACUA SEQ ID NO: 168 miR161.2 6 1707 a 1 17829390 17829411 UCAAUGCAUUGAAAGUGACUAC SEQ ID NO: 223 miR161.2 5 1712 a 1 17829390 17829409 UCAAUGCAUUGAAAGUGACU SEQ ID NO: 224 miR161.2 1 213 a 1 17829391 17829410 CAAUGCAUUGAAAGUGACUA SEQ ID NO: 225 miR162 4 395 a 5 2634957 2634937 UCGAUAAACCUCUGCAUCCAG b 5 7740613 7740633 SEQ ID NO: 169 miR163 1 1390 a 1 24888022 24888045 UUGAAGAGGACUUGGAACUUCGAU SEQ ID NO: 170 miR164 2 1427 a 2 19527840 19527860 UGGAGAAGCAGGGCACGUGCA b 5 287583 287603 SEQ ID NO: 171 miR164* 2 1812 c 5 9852751 9852771 CACGUGUUCUACUACUCCAAC SEQ ID NO: 226 miR165 30 1428 a 1 78952 78932 UCGGACCAGGCUUCAUCCCCC b 4 368876 368856 SEQ ID NO: 173 miR166 299 934 a 2 19183311 19183331 UCGGACGAGGCUUCAUUCGCG b 3 22933276 22933296 SEQ ID NO: 174 c 5 2838738 2838758 d 5 2840709 2840729 e 5 16792772 16792752 f 5 17533605 17533625 g 5 25522108 25522128 miR166 5 1743 a 2 19183311 19183332 UCGGACCAGGCUUCAUUCCCCC b 3 22933276 22933297 SEQ ID NO: 227 c 5 2838738 2838759 d 5 2840709 2840730 miR166 2 1764 a 2 19183310 19183331 UUCGGACCAGGCUUCAUUCCCC SEQ ID NO: 228 miR166 1 1779 a 2 19183310 19183330 UUCGGACCAGGCUUCAUUCCC SEQ ID NO: 229 miR166* 1 1955 a 2 19183198 19183218 GGACUGUUGUCUCGCUGGAGG b 3 22933187 22933207 SEQ ID NO: 230 miR167 160 5 a 3 8108097 8108117 UGAAGCUGCCAGCAUGAUCUA b 3 23417152 23417172 SEQ ID NO: 175 miR167 3 35 a 3 8108097 8108116 UGAAGCUGCCAGCAUGAUCU b 3 23417152 23417171 SEQ ID NO: 231 c 1 11137537 11137556 miR167 2 447 a 3 8108098 8108117 GAAGCUGCCAGCAUGAUCUA b 3 23417153 23417172 SEQ ID NO: 232 miR167 2 697 a 3 8108096 8108117 AUGAAGCUGCCAGCAUGAUCUA SEQ ID NO: 233 miR167 5 557 b 3 23417152 23417173 UGAAGCUGCCAGCAUGAUCUAU SEQ ID NO: 234 miR167 1 790 b 3 23417151 23417172 GUGAAGCUGCCAGCAUGAUCUA SEQ ID NO: 235 miR167 1 281 c 1 11137537 11137557 UGAAGCUGCCAGCAUGAUCUG SEQ ID NO: 236 miR167 6 535 c 1 11137537 11137558 UGAAGCUGCCAGCAUGAUCUGG SEQ ID NO: 177 miR168 22 1429 a 4 10578663 10578683 UCGCUUGGUGCAGGUCGGGAA b 5 18376120 18376100 SEQ ID NO: 178 miR168* 5 489 a 4 10578748 10578768 CCCGCCUUGCAUCAACUGAAU SEQ ID NO: 237 miR168* 1 1970 a 4 10578748 10578767 CCCGCCUUGCAUCAACUGAA SEQ ID NO: 238 miR168* 1 2076 a 4 10578747 10578767 UCCCGCCUUGCAUCAACUGAA SEQ ID NO: 239 miR169 614 1430 a 3 4359209 4359189 CAGCCAAGGAUGACUUGCCGA SEQ ID NO: 179 miR169 26 1749 a 3 4359209 4359190 CAGCCAAGGAUGACUUGCCG b 5 8527514 8527533 SEQ ID NO: 240 c 5 15888116 15888097 miR169 119 1751 b 5 8527514 8527534 CAGCCAAGGAUGACUUGCCGG c 5 15888116 15888096 SEQ ID NO: 180 miR169 12 1757 a 3 4359211 4359191 UGCAGCCAAGGAUGACUUGCC b 5 8527512 8527532 SEQ ID NO: 241 miR169 4 1762 3 4805824 4805805 AGCCAAGGAUGACUUGCCGG 4 11483124 11483105 SEQ ID NO: 242 b 5 8527515 8527534 c 5 15888115 15888096 miR169 5 1766 a 3 4359209 4359188 CAGCCAAGGAUGAGUUGGCGAU SEQ ID NO: 243 miR169 1 1768 a 3 4359210 4359190 GCAGCCAAGGAUGACUUGCCG b 5 8527513 8527533 SEQ ID NO: 244 miR169 13 1775 1 20043242 20043223 AGCCAAGGAUGACUUGCCGA SEQ ID NO: 245 1 20045256 20045275 a 3 4359208 4359189 miR169 1 1787 1 20043242 20043222 AGCCAAGGAUGACUUGCCGAU 1 20045256 20045276 SEQ ID NO: 246 a 3 4359208 4359188 miR169 5 1802 c 5 15888116 15888095 CAGCCAAGGAUGACUUGCCGGU SEQ ID NO: 247 miR169 3 1813 b 5 8527515 8527535 AGCCAAGGAUGACUUGCCGGA SEQ ID NO: 248 miR169 1 1817 3 4805804 4805824 AGCCAAGGAUGACUUGCCGGU c 5 15888115 15888095 SEQ ID NO: 249 miR169 2 1820 3 4805803 4805824 AGCCAAGGAUGACUUGCCGGUU SEQ ID NO: 250 miR169 1 1824 b 5 8527514 8527535 CAGCCAAGGAUGACUUGCCGGA SEQ ID NO: 251 miR169* 1 1772 a 3 4359018 4359037 GGCAAGUUGUCCUUGGCUAC SEQ ID NO: 252 miR169* 1 1773 b 5 8527595 8527616 GGCAAGUUGUCCUUCGGCUACA SEQ ID NO: 253 miR169 22 276 d 1 20043244 20043224 UGAGCCAAGGAUGACUUGCCG e 1 20045254 20045274 SEQ ID NO: 181 f 3 4805826 4805806 g 4 11483126 11483106 miR169 402 1514 h 1 6695555 6695535 UAGCCAAGGAUGACUUGCCUG i 3 9873362 9873343 SEQ ID NO: 182 j 3 9873739 9873720 k 3 9876931 9876912 l 3 9877296 9877277 m 3 9879575 9879555 n 3 9879947 9879927 miR169 1 1760 h 1 6695554 6695535 AGCCAAGGAUGACUUGCCUG i 3 9873362 9873343 SEQ ID NO: 254 j 3 9873739 9873720 k 3 9876931 9876912 l 3 9877296 9877277 m 3 9879574 9879555 n 3 9879946 9879927 miR169 48 1761 i 3 9873363 9873342 UAGCCAAGGAUGACUUGCCUGA j 3 9873740 9873719 SEQ ID NO: 255 l 3 9877297 9877276 n 3 9879947 9879926 miR169 1 1765 i 3 9873362 9873342 AGCCAAGGAUGACUUGGCUGA j 3 9873739 9873719 SEQ ID NO: 256 l 3 9877296 9877276 n 3 9879946 9879926 miR169 3 1771 m 3 9879575 9879554 UAGCCAAGGAUGACUUGCCUGU SEQ ID NO: 257 miR169 1 1774 h l 6695556 6695535 GUAGCCAAGGAUGACUUGCCUG i 3 9873364 9873343 SEQ ID NO: 258 j 3 9873741 9873720 k 3 9876933 9876912 m 3 9879576 9879555 n 3 9879948 9879927 miR169 1 1776 i 3 9873363 9873341 UAGCCAAGGAUGACUUGCCUGAC SEQ ID NO: 259 miR169 1 1815 3 4644341 4644361 UAGCCAAGGAUGACUUCCCUU SEQ ID NO: 260 miR169 1 1990 h 1 6695555 6695536 UAGCCAAGGAUGACUUGCCU i 3 9873363 9873344 SEQ ID NO: 261 j 3 9873740 9873721 k 3 9876932 9876913 l 3 9877297 9877278 m 3 9879575 9879556 n 3 9879947 9879928 miR170 1 1431 a 5 26428840 26428820 UGAUUGAGCCGUGUCAAUAUC SEQ ID NO: 183 miR171 34 39 a 3 19084500 19084520 UGAUUGAGCCGCGCCAAUAUC SEQ ID NO: 184 miR171 1 638 a 3 19084500 19084519 UGAUUGAGCCGCGCCAAUAU SEQ ID NO: 262 miR171.2 1 444 b 1 3961387 3961367 UUGAGCCGUGCCAAUAUCACG c 1 22933780 22933760 SEQ ID NO: 185 miR171.1 1 1876 c 1 22933783 22933763 UGAUUGAGCCGUGCCAAUAUC SEQ ID NO: 186 miR172 1 811 c 3 3599817 3599797 AGAAUCUUGAUGAUGCUGCAG d 3 20598970 20598990 SEQ ID NO: 188 miR172* 1 1854 e 5 24005710 24005729 GCAGCACCAUUAAGAUUCAC a 5 1188298 1188279 SEQ ID NO: 263 miR172* 1 2019 a 5 1188298 1188278 GCAGCACCAUUAAGAUUCACA e 5 24005710 24005730 SEQ ID NO: 264 miR173 1 886 a 3 8236168 8236189 UUCGCUUGCAGAGAGAAAUCAC SEQ ID NO: 190 miR173* 1 2033 a 3 8236234 8236254 UGAUUCUCUGUGUAAGCGAAA SEQ ID NO: 265 miR390 89 754 a 2 16069049 16069069 AAGCUCAGGAGGGAUAGCGCC b 5 23654187 23654207 SEQ ID NO: 143 miR390 25 1703 a 2 16069050 16069069 AGCUCAGGAGGGAUAGCGCC b 5 23654188 23654207 SEQ ID NO: 266 miR390 3 1784 a 2 16069049 16069068 AAGCUCAGGAGGGAUAGCGC b 5 23654187 23654206 SEQ ID NO: 267 miR390 3 1758 a 2 16069051 16069069 GCUCAGGAGGGAUAGCGCC b 5 23654189 23654207 SEQ ID NO: 268 miR390 2 1972 a 2 16069050 16069070 AGCUCAGGAGGGAUAGCGCCA b 5 23654188 23654208 SEQ ID NO: 269 miR390* 1 206 b 5 23654260 23654279 CGCUAUCCAUCCUGAGUUGG SEQ ID NO: 270 miR390* 1 2051 b 5 23654260 23654280 CGCUAUCCAUCCUGAGUUCCA SEQ ID NO: 271 miR391 7 1728 a 5 24310386 24310406 UUCGCAGGAGAGAUAGCGCCA SEQ ID NO: 144 miR391* 1 1991 a 5 24310737 24310457 ACGGUAUCUCUCCUACGUAGC SEQ ID NO: 272 miR396* 1 1724 a 2 4149413 4149434 GGUUCAAUAAAGCUGUGGGAAG SEQ ID NO: 273 miR397 1 1794 a 4 2625958 2625979 UCAUUGAGUGCAGCGUUGAUGU SEQ ID NO: 274 miR398 4 1994 b 5 4691110 4391130 UGUGUUCUCAGGUCACCCCUG c 5 4394781 4694801 SEQ ID NO: 200 miR399 1 1867 b 1 23349074 23349054 CCUGCCAAAGGAGAGUUGGCC SEQ ID NO: 275 ASRP1839 3 1839 a 1 29427439 29427458 UUCGAUGUCUAGCAGUGCCA SEQ ID NO: 276 miR447 1 1890 a 4 1528188 1528209 UUGGGGACGAGAUGUUUUGUUG b 4 1535480 1535501 SEQ ID NO: 146 0 c 4 1523381 1523360 UUGGGGACGACAUCUUUUGUUG SEQ ID NO: 206 miR403 1 359 a 2 19422223 19422244 AUUAGAUUCACGCACAAACUCG SEQ ID NO: 145

Table 8B provides another summary of locus-specific expression of 99 predicted miRNA genes coding for validated Arabidopsis microRNAs. Expression of a specific locus was considered definitive (dark shading) if a primary transcript was detected by 5′ or 3′RACE, or a unique miRNA sequence was cloned or amplified from the ASRP library described here (gray shading with total clones sequenced) or from another published library (Other Refs.). The number of clones corresponding to a specific miRNA or miRNA*(in parentheses) sequence in the ASRP database is shown. Sequences that were detected only in other studies are indicated by orange in the 3′RACE and references columns. Loci for which data support expression from more than one possible gene are indicated by light shading. TABLE 8B Locus specific expression of 99 predicted MIRNA genes coding for validated Arabidopsis microRNAs

nt, not tested. References cited are: 1. Allen et al., Nat Genet 36:1282-1290, 2004; 2. Aukerman & Sakai, Plant Cell 15:2730-2741, 2003; 3. Chen, Science 303:2022-2025, 2004; 4. Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004; 5. Kurihara & Watanabe, Proc Natl Acad Sci USA 101:12753-12758, 2004; 6. Llave et al., Plant Cell 14:1605-1619, 2002; 7. Llave et al., # Science 297:2053-2056, 2002; 8. Mette et al., Plant Physiol 130:6-9, 2002; 9. Palatnik et al., Nature 425:257-263, 2003; 10. Park et al., Curr Biol 12:1484-1495, 2002; 11. Reinhardt et al., Genes Dev. 16:1616-1626, 2002; 12. Sunkar and Zhu Plant Cell 16:2001-2019, 2004; 13. Arabidopsis EST clones were identified for MIR167d (GenBank accession AU239920) and MIR168a (H77158).

For each 5′RACE product detected, the transcription start site was assigned to the most highly represented sequence among six randomly selected clones. In cases where two clustered sequences were equally represented, the extreme 5′ sequence was assigned as the start site. Following this procedure, the 5′ends representing 63 transcripts from the 52 MIRNA loci were identified (FIG. 10 and Table 8). The vast majority of transcripts initiated with an adenosine (83%) that was preceded by a pyrimidine residue (FIG. 10A). Twelve loci yielded multiple transcripts that were consistent with alternative start sites. Three transcripts (one from MIR156a and two from MIR172b) contained introns between the 5′ end and foldback sequence. Each of these characteristics is consistent with transcription by RNA pol II.

To identify conserved motifs flanking the initiation sites at each mapped locus, a 60-bp genomic segment (−50 to +10 relative to the start site) was computationally analyzed using BioProspector. An 8-nucleotide TATA box-like sequence was detected upstream from 83% of transcription start sites (FIG. 10B). Using MotifMatcher to scan a broader segment (−200 to +50), the TATA-like sequence was shown to be centered at position removed from the start site (FIG. 10C). The TATA motif at position −30 is entirely consistent with TATA motifs for protein-coding genes (Patikoglou et al., Genes Dev 13:3217-3230, 1999; Shahmuradov et al., Nucleic Acids Res 31:114-117, 2003). We conclude, therefore, that these are authentic TATA box sequences within core promoter elements of MIRNA genes.

Expression of Arabidopsis MIRNA Genes

Despite repeated attempts with multiple primer sets, 5′ start sites were mapped for only about one-half of predicted MIRNA genes (Table 8B). This may have been due to either less-than-optimal 5′RACE procedures and low expression levels (false negative results) or lack of expression of some loci predicted to be MIRNA genes. It is also possible that some primer sets were designed within intron sequences. To develop a more comprehensive account of Arabidopsis MIRNA genes with validated expression data, informatic and experimental approaches were taken. In the informatic strategy, the ASRP database was scanned for locus-specific miRNA or miRNA* (miRNA-complementary species within miRNA duplexes) sequences (Gustafson et al., Nucleic Acid Research 33:D637-D640, 2005). Unique miRNA or miRNA* sequences specific to MIR158a, MIR167d, MIR173, MIR391, MIR397a and MIR164c loci were each represented in the database (FIG. 10). In addition, unique miRNA sequences specific to MIR319c, MIR398a, and MIR399f were represented in an independent Arabidopsis small RNA library (Table 8B) (Sunkar & Zhu, Plant Cell 16:2001-2019, 2004). For each of three families (MIR390/391, MIR393, and MIR168) in which negative 5′RACE data were obtained, multiple predicted loci encode an identical miRNA that was detected in at least one small RNA library (Reinhart et al., Genes Dev 16:1616-1626, 2002; Jones-Rhoades & Bartel, Mol Cell 14:787-799, 2004; Sunkar & Zhu, Plant Cell 16:2001-2019, 2004; Gustafson et al., Nucleic Acid Research 33:D637-D640, 2005). For MIR168a, a locus-specific EST clone (GenBank accession H77158) exists to confirm expression. For two miRNAs that are represented by a single locus (miR173 and miR391), expression was inferred by cloning or detection of the miRNA sequence. Thus, 5′RACE and unambiguous miRNA cloning/detection support expression of 68 of 99 predicted Arabidopsis MIRNA loci.

For the remaining 31 predicted MIRNA genes, locus-specific primers were designed to amplify sequences immediately downstream of the precursor foldback sequence through a 3′ RACE procedure. Positive results were obtained for five loci.

EXAMPLE 6 Small RNA Formation in Plants

This example provides a demonstration of the ability to produce novel siRNAs using engineered ta-siRNA-generating loci. This demonstration includes miRNA-dependent formation of novel siRNAs for RNAi against exogenous and enogenous RNA sequences, and phenotypes associated with silencing of an endogenous gene (phytoene desaturase, or PDS) using the artificial, engineered cassettes.

Development of Constructs for Wild-Type and Artificial ta-siRNA Biogenesis Assays in N. benthamiana

The following artificial ta-siRNAs targeting Arabidopsis genes encoding phytoene desaturase (PDS) and PINOID (PID), as well as GFP, were designed and expressed using an Arabidopsis thaliana TAS1c-based construct: 35S:TAS1c; 35S:TAS1cGFPd3d4 (SEQ ID NO: 277); 35S:TAS1cPDSd3d4 (SEQ ID NO: 278); and 35S:TAS1cPIDd3d4 (SEQ ID NO: 279). The ta-siRNA constructs were made in the TAS1c context, as shown in FIG. 11.

The artificial ta-siRNAs were expressed in place of the normal 3′D3(+) and 3′D4(+) positions of TAS1c (positional nomenclature as in Allen et al., Cell 121:207-221, 2005). Artificial ta-siRNA sequences were chosen based on the principles of the asymmetry rules and presented by Schwarz et al. (Cell 115:199-208, 2003) and Khvorova et al. (Cell 115:209-216, 2003). The artificial siRNAs chosen were designed as perfect complementary matches to their corresponding target genes, although it is assumed that artificial siRNAs may contain mismatches similar to those in known miRNA:target duplexes (see Allen et al., Cell 121:207-221, 2005, for examples). Each of these constructs contained two 21-nt siRNA modules, with the siRNAs designed to target miRNAs for GFP, PDS and PID.

Engineered TAS1c loci were expressed using the CaMV 35S promoter and the nos terminator as regulatory elements. The expressed sequence was inserted betweens between att sites (positions 55 to 79 and 1106 to 1130 in each) for recombination into a “Gateway” vector. The two consecutive, 21-nucleotide engineered ta-siRNAs correspond to nucleotide positions 520 to 561 in each of SEQ ID NOs: 277, 278, and 279. Vector sequence is shown in postions 1 to 99 and 1090 to 1185 of each of these sequences; primers used to amplify the cassettes hybridize at positions 96 to 123 and 1069 to 1089.

Demonstration of Artificial ta-siRNA Biogenesis and Activity in N. benthamiana

Transient ta-siRNA expression assays in Nicotiana benthamiana were done as in Allen et al. (Cell 121:207-221, 2005). Stable Arabidopsis thaliana transgenic lines were created using the Agrobacterium mediated floral dip method. Transgenic seed from transformed plants was plated on Murashige-Skoog media containing kanamycin (50 μg/ml), and blot assays were done as described in Allen et al. (Cell 121:207-221, 2005).

Introduction of each construct (35S:TAS1c [which forms wild-type TAS1c ta-siRNAs], 35S:TAS1cGFPd3d4, 35S:TAS1cPDSd3d4, and 35S:TAS1cPIDd3d4) into N. benthamiana in a transient assay resulted in miR173-dependent formation of ta-siRNAs (FIG. 12). In the case of 35S:TAS1cGFPd3d4, the artificial ta-siRNA construct was co-expressed with a functional GFP gene. Expression of at least one artificial ta-siRNA was detected in a miR173-dependent manner, by blot assay using each construct (FIG. 12). The GFP gene was silenced by the artificial GFP ta-siRNAs in a miR173-dependent manner (FIG. 12).

A PDS artificial ta-siRNA-generating construct was introduced into wild-type Arabidopsis and rdr6-15 and dcl4-2 (Xie et al., Proc Natl Acad Sci USA. 102(36):12984-12989, 2005; Epub 2005 Aug. 29) mutant plants. Both strong and weak loss-of-function PDS phenotypes were detected, but only in wildtype plants and not in rdr6-15 or dcl4-2 plants (Table 9 and FIG. 13). This indicates that functional artificial ta-siRNAs were formed through the activity of the normal ta-siRNA pathway. TABLE 9 Observed phenotype classe of Arabidopsis stable transgenic lines expressing engineered TAS1cPDSd3d4 No Weak Strong Phenotype Phenotype Phenotype Col-0  8/102 36/102 58/102 (n = 102) rdr6-15 291/291 — — (n = 291) dcl4-2 15/15 — — (n = 15)

This disclosure describes the discovery of a new system for RNAi in vivo, and provides methods, constructs, and compositions useful for exploiting this discovery. The disclosure further provides myriad initiator sequences and methods for identifying additional initiator sequences that are useful in directing in vivo generation of predictable 21-mer siRNAs, as well as methods of using constructs containing such an initiator sequence to mediate RNAi. It will be apparent that the precise details of the methods described may be varied or modified without departing from the spirit of the described invention. We claim all such modifications and variations that fall within the scope and spirit of the disclosure and the claims below. 

1. An siRNA-triggering or RNAi-triggering nucleic acid cassette, comprising: an initiator sequence consisting of about 20 to 25 nucleotides, and having an initiation cleavage site between about the tenth and eleventh nucleotide counted from the 3′ end of the initiator sequence; and at least one gene suppressing segment in about 21-nucleotide register counted either upstream or downstream from the initiation cleavage site, wherein the gene suppressing segment or its complement is substantially complementary to miRNA transcribed from a target gene selected for siRNA inhibition.
 2. An expression vector, comprising the nucleic acid cassette of claim 1 operably linked to a promoter.
 3. The nucleic acid cassette of claim 1, wherein the at least one initiator sequence is selected from any one of SEQ ID NO: 1-142 and 281-285.
 4. The nucleic acid cassette of claim 1, comprising two or more gene suppressing segments, at least two of which are specific for different target genes selected for siRNA inhibition.
 5. A transgenic plant cell that expresses RNA for suppressing a target gene, wherein said plant cell comprise recombinant DNA from which there is transcribed a first RNA comprising: an initiator segment consisting of about 20-25 nucleotides wherein an initiation cleavage site is located between about the tenth and eleventh nucleotide counted from the 3′ end of the initiator segment and wherein said initiator segment is linked to or overlaps with at least one gene suppressing segment of 21-nucleotides in 21-nucleotide register counted either upstream or downstream from the initiation cleavage site, wherein said gene suppressing segment or it complement is complementary to RNA transcribed from said target gene.
 6. A transgenic plant cell of claim 5 further comprising DNA from which there is transcribed a second RNA that anneals to said first RNA at said initiation cleavage site.
 7. A transgenic plant cell of claim 6 wherein said second RNA is an exogenous miRNA or siRNA.
 8. A transgenic plant cell of claim 6 wherein said second RNA is a miRNA or siRNA transcribed from a native plant gene.
 9. A transgenic plant cell of claim 5 wherein said first RNA comprises two or more of said gene suppressing segments.
 10. A transgenic plant cell of claim 5 wherein said target gene is an endogenous plant gene.
 11. A transgenic plant cell of claim 10 wherein said plant cell is a corn cell and said endogenous plant gene encodes lysine ketoglutarate reductase.
 12. A transgenic plant cell of claim 5 wherein said target gene is a gene of a plant pathogen or plant pest.
 13. A transgenic plant cell of claim 12 wherein said plant pest is a nematode or insect and said pant pathogen is a virus or fungus.
 14. A transgenic plant cell of claim 13 wherein said plant cell is a soybean cell and said plant pest is soybean cyst nematode.
 15. A transgenic plant cell of claim 5 wherein said recombinant DNA comprises a promoter functional in said plant operably linked to DNA coding for said first RNA.
 16. A transgenic plant cell of claim 15 wherein said promoter is characterized as being a constitutive promoter, an inducible promoter, a tissue specific promoter, a ubiquitous promoter or a combination thereof.
 17. A transgenic plant cell of claim 5 wherein said plant cell is a corn, soybean, cotton, canola, wheat or rice cell.
 18. A transgenic plant cell of claim 5 wherein said recombinant DNA further comprises nucleotides for expressing at least one protein.
 19. A method of inhibiting expression of a target gene or sequence in a cell, the method comprising exposing the cell to an effective amount of the nucleic acid cassette of claim
 1. 20. A method of inhibiting expression of a target gene or sequence in a cell, the method comprising exposing the cell to an effective amount of the vector of claim
 2. 21. The method of claim 19, wherein the cell is a plant cell, a fungal cell, or an invertebrate cell.
 22. The method of claim 19, wherein the cell is in a multicellular organism.
 23. A method of inducing production of at least one siRNA in a cell, comprising: transforming the cell with a recombinant nucleic acid molecule comprising a nucleic acid cassette of claim 1, wherein the recombinant nucleic acid molecule directs expression of a RNA from the nucleic acid cassette, which RNA is processed in the cell to produce at least one siRNA, thereby inducing the production of at least one siRNA in the cell.
 24. A method of inhibiting activity of a target gene in a plant cell, comprising: transforming the plant cell with a recombinant nucleic acid molecule comprising a nucleic acid cassette of claim 1, wherein at least one gene suppressing segment of the nucleic acid cassette is specific for the target gene; and expressing the nucleic acid molecule, thereby producing in the plant cell at least one siRNA specific for the target gene which inhibits activity of the target gene in the plant cell.
 25. A method of inhibiting activity of a target gene in a plant seed cell comprising providing in one of more said plant cells: (a) a recombinant nucleic acid molecule comprising a nucleic acid cassette of claim 1, wherein at least one gene suppressing segment of the nucleic acid cassette is specific for the target gene and wherein said cassette comprises a seed-specific promoter operably linked to said initiator sequence and said at least one gene suppressing segment; (b) a recombinant DNA with a seed specific promoter operably linked to DNA transcribing an miRNA or siRNA that anneals to said initiator sequence at said initiation cleavage site; or (c) both (a) and (b). 